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A Compendium of Computational Methods for Calculus

Jonathan Edwin Remegia
Akademika: Educational Learning Anthology · 2025-03-21 · DOI 10.5281/zenodo.15061720
Token #4767
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #4767.
Token#4767 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xb6f3a88da45a6fd93854261dbc04a3a81eb8a12254d8471969383cdcf07581f4 · block 12104197
Minted2026-10-02 03:25 UTC
Hash on chain0xa9d0caaf6da71f4b5e1635d86978569294b04a68d3cb0b42bd57b8487cca757b
SHA-256 of the record0xa9d0caaf6da71f4b5e1635d86978569294b04a68d3cb0b42bd57b8487cca757b
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Jonathan Edwin Remegia 0xbc015501…f6132a 900,000 900,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain. The abstract here is gemini generated, not the author's own text.

{"abstract":"This paper aims to highlight new computational techniques for calculus and their impact on problem-solving methodologies. It collates the history of these approaches and their use in tackling complex problems from various domains, emphasizing the shifts and ease they bring. The article discusses the evolution of computational methods, noting that traditional algebraic and symbolic methods faced difficulties with non-continuous, complex, or disorganized systems, necessitating numerical methods. Early numerical methods included finite difference methods for differentiation, the Trapezoidal Rule and Simpson's Rule for integration, and Euler's Method for ordinary differential equations. The advent of computers led to more sophisticated numerical methods and software applications, enabling the modeling of complex systems. Modern computational methods, including adaptive mesh refinement, spectral techniques, and Monte Carlo simulations, have further enhanced effectiveness and accuracy, making computational calculus a vital tool in scientific research and industrial use across fields like meteorology, computational fluid dynamics, and financial modeling.","abstract_source":"gemini_generated","authors":["Jonathan Edwin Remegia"],"date":"2025-03-21","doi":"10.5281/zenodo.15061720","id":4767,"issue":1,"journal":{"issn":"xxxx-xxxx","name":"Akademika: Educational Learning Anthology"},"pdf_sha256":"54f776d464a4639e3f170b21f41993f4538eaa2b43c110e7c9df569769a9c4ad","schema":"scimatic-article/1","title":"A Compendium of Computational Methods for Calculus","volume":1}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/4767.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(4767)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c290000000000000000000000000000000000000000000000000000000000000129f"},"latest"]}'

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