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Paper Citation Record · LEDGER

LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2405.13144.

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

pith.paper-citation-record.v1
2405.13144 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:30.122117Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:53:26.357310Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 1ec9202f-2527-4281-b28d-1ae55981aa3d · inbound

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows cites this paper.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T23:34:30.122117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:30.122117Z digest=sha256:c998af9070084a63491419bca7ad31ebf211680ff66720a647c8d92131d99114

Observation a519d0d4-25d1-40a9-bc64-3446174fe3b2 · inbound

DualSchool: How Reliable are LLMs for Optimization Education? cites this paper.

DualSchool: How Reliable are LLMs for Optimization Education? LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:46.623366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:46.623366Z digest=sha256:4be950381cd063c3ef32d22714dd76b4786eee2add4d48ae7aa2c728efc57b41

Observation e965049c-3ccc-4587-8848-a4ab327b081d · inbound

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

Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T19:08:50.373732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:08:50.373732Z digest=sha256:87210bcee4e9ccd2621ebe1d32020fe9d7bf13f7ddcc0550a2f6a129d649aff4

Observation 6bb320cb-63d1-4dcf-8b0b-a306dabb997d · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-04T20:55:41.398530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.398530Z digest=sha256:89334ccce0ed2296a865311ca0bb2e7ebc3c0205c6757891a1293eb0af1e4eaa

Observation 4c48c5e5-85d3-490e-b70a-b78bc1918023 · inbound

SciML Agents: Write the Solver, Not the Solution cites this paper.

SciML Agents: Write the Solver, Not the Solution LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:01:43.831257Z

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.

source=pdf_text observed=2026-05-18T17:57:51.444493Z digest=sha256:cb6ade17efdf0e8d22507238e19f8eb9aeee36388a8200d0289b264d792ec5a3

Observation 10e626b4-8851-45d7-a097-e136214d8173 · inbound

SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling cites this paper.

SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:29.565445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:42:29.565445Z digest=sha256:b3323ca18a69d3bace15a3d1b51d97ce69e0db3cbcc01c373700e6ad66d2a2ba

Observation c14fa036-499b-427a-9c7e-364ef0d9f57d · inbound

ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization cites this paper.

ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:30:21.015302Z

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.

source=pdf_text observed=2026-05-15T21:21:39.598396Z digest=sha256:79b68045951e1fd569bccaa596da55e397dbdb4e82fd363aaddb094a2fe1a9f0

Observation 44bd34a5-b9fc-4063-80b2-4cf2cd427df8 · inbound

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems cites this paper.

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:11:53.622054Z

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.

source=pdf_text observed=2026-05-10T07:02:02.992871Z digest=sha256:8515f828765e2575945a4d996d9851deb54a04de7ee16b58b16728e541e25aab

Observation 71693229-7cd9-470a-b9bc-cf620b043dff · inbound

Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization cites this paper.

Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:23:37.834514Z

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.

source=arxiv_source observed=2026-05-10T05:21:51.915690Z digest=sha256:ae750b99739461886f5bdf03058f080936260d1204ade2f1fe15fa6f7a8ec990

Observation 8e082ab1-fa68-41c6-ada9-e07949443622 · inbound

PARM: Pipeline-Adapted Reward Model cites this paper.

PARM: Pipeline-Adapted Reward Model LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:28:39.507525Z

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.

source=pdf_text observed=2026-05-10T05:15:26.015817Z digest=sha256:e0176a69643e10f94f452a2f44fb4e483ad2448bf35b3fc1babb36d3a149ac06

Observation 962f31a9-8ed1-47ba-ba2a-e166dd65a02c · 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 LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:53:26.358979Z

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.

source=pdf_text observed=2026-06-29T12:52:20.911788Z digest=sha256:062eed7ea527a70fb4711ecef4b9f81327ff160dabebbf79eb7235638afa3adb

Observation cb42ba5a-428f-4d7d-ad7d-8aca70ae6379 · inbound

Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification cites this paper.

Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:13:16.759894Z

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.

source=pdf_text observed=2026-06-29T07:06:37.209428Z digest=sha256:f5f49781982aa6720e49cc8fa891b8335faf37c84f7e708b855708bb307bd445

Observation 1876b177-eb26-4a99-ab9b-2a01451a8217 · inbound

Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits cites this paper.

Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:11.354232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:26:11.354232Z digest=sha256:564360cfa775f64e6b168f8f4691a0d9f64edf1812215c03997554e8170c77de

Observation 00a19128-7189-41e5-a4c9-9c7cd34646c5 · inbound

PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language cites this paper.

PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T14:04:52.899166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:04:52.899166Z digest=sha256:cb9d5b61413f0e148811320edfbf970817623b9d482b5a4365bacc41d527423a

Observation 385e47be-37ba-4c22-ae8d-6d6c5f3ea384 · inbound

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD cites this paper.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T10:42:38.162881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:42:38.162881Z digest=sha256:3798cdcc2e7c3ca3b1801f44a37ec21c3e042ab5e564e0ef6cc08f21282a4c74

Observation 592b889b-6529-4670-88cb-2dd464f97a87 · inbound

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models cites this paper.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.489029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.489029Z digest=sha256:26554f422a59cd9ddf704cd8df849957a12046fdea6f310bee4d8d2a535fe0e5