Paper Citation Record · LEDGER

MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:35.293284Z

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 579a8b35-8950-409a-b660-e1ba0d015d43 · inbound

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks cites this paper.

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T05:08:18.474752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b963a3-133b-44e6-a40c-2aef8974242b · inbound

A Survey on Multi-Turn Interaction Capabilities of Large Language Models cites this paper.

A Survey on Multi-Turn Interaction Capabilities of Large Language Models MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-10T19:32:44.359844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc5b7f2-e208-45ab-a944-e74a6d0d47d5 · inbound

Using Large Language Models for education managements in Vietnamese with low resources cites this paper.

Using Large Language Models for education managements in Vietnamese with low resources MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T14:44:27.229232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+00:00.

Observation b7e559d7-b39d-4c84-a680-acb075286350 · inbound

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning cites this paper.

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:35.293284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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.