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Paper Citation Record · LEDGER

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling

As of 6 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2604.25847.

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

pith.paper-citation-record.v1
2604.25847 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T15:47:28.474020Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:52:20.911788Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T12:53:26.393576Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact21
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1d08d4e-feb0-4fab-bd43-66c93e9af24e · outbound

This paper cites OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T01:16:21.807158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:a935cb72095a392a7748d39c5cbbbfdcedc56924a05a7e20661622a8197b5483

Observation fd984b48-78d6-4540-b80b-d0e965dd617a · outbound

This paper cites Debatecoder: Towards collective intelligence of llms via test case driven llm debate for code generation.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Debatecoder: Towards collective intelligence of llms via test case driven llm debate for code generation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.469254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:6e148562d8a2e96a169d30fbe35f0308e3fdaacb834f677107b9a9191ce4eb26

Observation 1368c2aa-1cf5-4022-80d7-a81b3df20868 · outbound

This paper cites OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:43:11.552486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:8f56f3557a9af000634448fb236878e207be440a848faac7bc18b32cd87b6952

Observation 429cf6f7-3a3e-49ba-b8a4-b5f7e29d76b8 · outbound

This paper cites DeepSeek-V3 Technical Report.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling DeepSeek-V3 Technical Report

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T00:06:18.596909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:90af56bdd6dd6cecfadd12a5edc3ad33441819df881567423a938a99bd574c1c

Observation 3d0cdcf5-3a87-4a46-ac2c-71eb3529d9b0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:06:18.395014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:a69584e3b50df969dc3c1c101fb5bd323071a59c2cdc0533e1f5551ceb09415f

Observation 1c838b19-4361-4b54-9233-aa31b4da7228 · outbound

This paper cites AI safety via debate.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling AI safety via debate

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:22:01.373606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:5004ab3d6a5fd4b7afb896f507b366239ff3b7f05fb8241ab26d1f5b79da4ad9

Observation c0cefe87-dd59-421d-b28b-90cd49a9e8e4 · outbound

This paper cites LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.483370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:62aca4bc1470b8da20aca777eb7dccf3f6707a95f83c80425c22909824ca4ed5

Observation b2c49836-f332-4031-b218-bf9612ba3bf9 · outbound

This paper cites AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-09T02:06:07.180254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:a9c2a5d5c2e3f46491b01230a4f72ecef843a3c5ce743479290b40c6760f11de

Observation f19d3a12-f8b9-449a-9607-181a93dc1a28 · outbound

This paper cites SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.523091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:f5ba7d37bd67a535f38e301c5565680acebd4993ba0aef31f77c848bebfb5fd1

Observation f501e0fe-2405-4232-a875-79cb80c92119 · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Encouraging divergent thinking in large language models through multi-agent debate

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T02:58:27.183241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:5754afc7b94e5d1c46378f224e94ab609f7729b7c84a9cf43149f36b250981a0

Observation 58357e83-0b1a-48e7-b0bc-b17adfc5120b · outbound

This paper cites Breaking mental set to improve reason- ing through diverse multi-agent debate.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Breaking mental set to improve reason- ing through diverse multi-agent debate

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.628781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:d68da0a7ed5d984143ebe0818b75b8c85ffa72dbc804272dd4861a1e5a5be06d

Observation 1851268c-4e24-4a05-8c8c-b3ded5c96654 · outbound

This paper cites OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.510090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:55f16ef3528ea50abd2b1eb6f3c3519b25d3e953d35d0ae7cd123168a0b3f2f1

Observation de0d3bfd-1f39-45cd-b01f-7447a6af8490 · outbound

This paper cites RET-LLM: Towards a General Read-Write Memory for Large Language Models.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling RET-LLM: Towards a General Read-Write Memory for Large Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:06:18.551481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:51cfd4e285a13857d6510a8201493a6e3a12cc7c80f948fb4204a7e20b23a1b2

Observation f2c7bc97-f44a-4488-b324-f8f6e46d6d46 · outbound

This paper cites Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.610346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:399d593aa149fc1130196086516396268b7172af1ea3c2db4f8ca3c893be9e35

Observation 702c4b2f-e999-4d2f-86a1-053dfb19ab51 · outbound

This paper cites NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.541484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:96d6131fe88e7cd681ffd259e61da8ee5843d2822244b1f4bf4e6861a9d8ae65

Observation fc13a094-808e-4971-adec-74c564862260 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Kimi K2: Open Agentic Intelligence

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:06:18.570823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:e77ddeb25718ec0f13e3441f1be4ce0bb3643693d71677761c0d0001fa939e04

Observation 03236727-e88f-4dd3-b758-75a45248fda1 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:06:18.407722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:af132a0058aec33e8a3ede7d2c711b91ff393790e79de52c89f58d6ad853ce66

Observation 3acc2519-12bc-45ff-8417-7a7bfb508885 · outbound

This paper cites MIRIX: Multi-Agent Memory System for LLM-Based Agents.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling MIRIX: Multi-Agent Memory System for LLM-Based Agents

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:57:52.839654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:529fd19ca44992b2604a4a2fef39c96a914a37480857cb6fe4ffba20a04a3d6a

Observation 93e61785-5992-4cda-9a79-0f309e7729d5 · outbound

This paper cites Ormind: A cognitive-inspired end-to-end reasoning framework for operations research.arXiv preprint arXiv:2506.01326.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Ormind: A cognitive-inspired end-to-end reasoning framework for operations research.arXiv preprint arXiv:2506.01326

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.426057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:914a4200649351f271529c490101df33c7e516e773f3bc471cbac5d0894da038

Observation 8dfac993-59ae-40a8-9832-65fca3b86356 · outbound

This paper cites Retrieval-Augmented Generation for Natural Language Processing: A Survey.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Retrieval-Augmented Generation for Natural Language Processing: A Survey

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T03:06:10.858157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:19f2df492d08f63b9aa6c8a0c9644fa97762ed6057eb5e2b13830886e26d80de

Observation ccbd1f9b-6ce9-4d5f-a5c8-e9d93f5f328f · outbound

This paper cites Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.559842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:b67dbfbfc86092cb537cb453ab1401e4772a05601f1a813101a63c28646bc8a0

Observation 61d3bca7-dc01-4efc-8b1e-9dc02140064c · outbound

This paper cites A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.618652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:bf7c2f099f94b842f22f07d05beeaecc6459a7de6b133f55bb4091d552f93ecb

Observation e0963247-7c30-40fd-9375-3c1c13946da9 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling A-MEM: Agentic Memory for LLM Agents

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:06:18.400738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:0b0a87c5f909b605bfa4738e1db7bb3c64227ce16c3aedc60be9e0cfd4e2af64

Observation d86cae6b-4ec0-459b-bf7f-5519a1b545d5 · outbound

This paper cites Qwen3 Technical Report.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling Qwen3 Technical Report

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-12T00:06:18.588365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:b6a7146cc4ee5359fa2696ea9d6e2880028cd17f468113137c65fe6d4e612108

Observation a37fc80e-4bc3-4a19-937e-889762681210 · outbound

This paper cites OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:06:18.414297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:d2a740be75b457af69be77356b7ab2c2dc78df605252a5c3c90ca812ce95ba8f

Observation 5e259e76-16cb-4d35-b40a-3d26b6387643 · outbound

This paper cites OBJECTIVE_VALUE.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling OBJECTIVE_VALUE

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:06:18.644436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T15:47:28.474020Z digest=sha256:cd4a9fd38f72c0a44016313ad202a18410271313e30defe839750f66f9502926

Pith citing papers

Observation 3e48f823-12d0-4de3-a04f-5694589c6ec2 · inbound

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents cites this paper.

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-06-29T12:53:26.394890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T12:52:20.911788Z digest=sha256:b03987eb9f1ff9dcf43ebad80d2ac558c9f40278dc35742a2e5bacf0a8034f66