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Paper Citation Record · LEDGER

Interpreting and Improving Large Language Models in Arithmetic Calculation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.01659.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.01659 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:51:29.455263Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ff2f01d5-3f51-4800-806e-1ddf897090e2 · inbound

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging cites this paper.

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging Interpreting and Improving Large Language Models in Arithmetic Calculation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T23:51:29.455263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:51:29.455263Z digest=sha256:9a07f2624f2506926e7ccccf621c3f76ae7697c4f8f9d4e98cdcba4a03fb9d34

Observation 87179300-f5fe-4a0f-b7b1-886de8455d6a · inbound

Unleashing the Power of Large Language Model for Denoising Recommendation cites this paper.

Unleashing the Power of Large Language Model for Denoising Recommendation Interpreting and Improving Large Language Models in Arithmetic Calculation

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:53.886627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:53.886627Z digest=sha256:9d98dd464cb1dd38ae53ec84fba4b1be314bd3233f77b1e97b5380e2e245bd51

Observation 0b9f990d-eca5-464c-b1b8-44518df6b499 · inbound

Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation cites this paper.

Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation Interpreting and Improving Large Language Models in Arithmetic Calculation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:00.674610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:44:00.674610Z digest=sha256:20e7de74090b21cd05abfa8ebf0ed0c2a3f21ec96a0bd378aa8ad793c9081c01

Observation ba05d40a-c342-45ba-b7a6-785aef29896b · inbound

Modular Arithmetic: Language Models Solve Math Digit by Digit cites this paper.

Modular Arithmetic: Language Models Solve Math Digit by Digit Interpreting and Improving Large Language Models in Arithmetic Calculation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T05:02:54.053545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:02:54.053545Z digest=sha256:43e416f464a975804ade5c0c977bf95b082babc234750165fa6a2d8392a3b7d6

Observation 624459cb-38a4-43a2-9fa4-37661196e506 · inbound

Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs cites this paper.

Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs Interpreting and Improving Large Language Models in Arithmetic Calculation

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-01T20:23:47.197999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-01T20:19:25.103475Z digest=sha256:4ab2840c39792b35dcb041cbc0882240258ad97cf0bca641e7950b1d0b19770d