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Paper Citation Record · LEDGER

Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.02502.

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

pith.paper-citation-record.v1
2307.02502 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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:14:33.846942Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T04:03:00.545218Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a9614b23-7f7a-401b-b5e4-b403aa5220dd · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:00.551197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:1fbf417747e47559b6902f6f45958d87073973860ba77cd7c57c0755a8ed9818

Observation 35c9e85b-10c1-431d-82ba-910368e05cd3 · inbound

TestAgent: An Adaptive and Intelligent Expert for Human Assessment cites this paper.

TestAgent: An Adaptive and Intelligent Expert for Human Assessment Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:14:33.846942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:14:33.846942Z digest=sha256:aca257012eab7fc827c3f02710b19efed1586508be9438e6632e6ee6d8dcb119

Observation 2e0aafa4-0631-4568-8929-470efc8f0714 · inbound

Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational Dynamics cites this paper.

Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational Dynamics Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T10:12:25.478914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:12:25.478914Z digest=sha256:5c9629d9fee69de78545bd51643d708344fa04669fa520bcefb68d7b4fdb21a5

Observation 0931281a-086e-4647-a41b-8c47a5e89a63 · inbound

Exploring Agentic Workflows for Generating High Quality Math Visual Aids cites this paper.

Exploring Agentic Workflows for Generating High Quality Math Visual Aids Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T15:09:09.618028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:09:09.618028Z digest=sha256:9eee1f5f1fb2d08f5438460a713c465960b9f1066621ecd03fe0510a1dcd1d3f

Observation 01b8aa43-f2f2-4bee-a325-da40778091ab · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics

Reference 106

Resolution
unresolved
no resolver link, observed 2026-07-31T23:51:58.558883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:58.558883Z digest=sha256:8e243a3b7d35e93513e78a3dec9e8e0a1a99cfafb834b89aa884af33f0a0a675