Paper Citation Record · LEDGER

MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2306.01337.

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

pith.paper-citation-record.v1
2306.01337 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:40:02.203675Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40c41790-a99b-473e-86d5-163d10c5557a · inbound

Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles cites this paper.

Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T17:40:02.203675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a802c634-1059-480a-9fd2-a2d131694cc3 · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:36:58.658601Z

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.

Observation 19d4b72d-787b-42f7-a5aa-c178390803c3 · inbound

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization cites this paper.

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:42.730427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66d88f88-947a-4766-b04a-247894a2422d · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T10:17:15.379380Z

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.

Observation 0983a35c-5f93-4dc7-be7c-7d9cd73b75da · inbound

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models cites this paper.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.488657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c73dbb-b97c-4096-9eb2-8e30fecf5275 · inbound

World model inspired sarcasm reasoning with large language model agents cites this paper.

World model inspired sarcasm reasoning with large language model agents MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:58:18.551491Z

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.

Observation cacff159-8c24-46f8-aac5-e913e68520a8 · inbound

Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale cites this paper.

Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:23:12.415262Z

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.

Observation 3848d9e0-501c-4d2c-9f73-946567e3b4e9 · inbound

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? cites this paper.

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T01:10:44.920887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.