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Paper Citation Record · LEDGER

FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.02611.

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

pith.paper-citation-record.v1
2402.02611 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:30:43.595386Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:34:23.958381Z

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 d18500c4-f372-48a4-a7e0-2d5e38939151 · inbound

EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges cites this paper.

EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T23:30:43.595386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:30:43.595386Z digest=sha256:b5e28d4902992b75704635d127ecc96a63982b203b82fe770f0d3333bfa806d6

Observation a5ba5abd-d9bb-45b5-b31a-b2af3979aeff · inbound

A Neuro-Symbolic Approach for Reliable Proof Generation with LLMs: A Case Study in Euclidean Geometry cites this paper.

A Neuro-Symbolic Approach for Reliable Proof Generation with LLMs: A Case Study in Euclidean Geometry FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:29.719822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:38:29.719822Z digest=sha256:135a55d9a948311453d32ea491b69d7d9684dcaba1a3e5ecfa6127e86871721a

Observation f2d4a53e-8611-431a-a283-7848ebe27d69 · inbound

Reasoning LLMs are Wandering Solution Explorers cites this paper.

Reasoning LLMs are Wandering Solution Explorers FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:12.762253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:12.762253Z digest=sha256:cdb427786b741a7eb098cbb4fbf72a996e63f604c33ce7f0d8b003b6c6378dbd

Observation a7c44ba6-481d-4dbb-ab15-381987856a58 · inbound

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention cites this paper.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.700548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.700548Z digest=sha256:aba2711fdf50d28b5f3285c271b4ea56e04e4967b3a42648217946c1d81322bf

Observation a6a708bf-3284-4716-8d12-5081e73cb232 · inbound

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling cites this paper.

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:34:23.960679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T22:33:09.674822Z digest=sha256:2a40019fbdf87139a152a3e720cce03f0a129e69ddeceba4cb83ec8d4f422c00

Observation 044de025-daf2-46f3-99d2-bf13c184a109 · inbound

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data cites this paper.

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T18:08:42.697524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:08:42.697524Z digest=sha256:448b0e29da9601577184ba3dcee17abd4b6f0d514cb8d3ff4c61919f4e44e728