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Paper Citation Record · LEDGER

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.14890.

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

pith.paper-citation-record.v1
2312.14890 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:39.255176Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:10:40.938077Z

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 b40b5125-ae74-438d-832d-2b808802dce9 · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:10:40.940622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:53134208994ce483c26b58e502afbd955383621634a44c47d2e94b9f898ebd39

Observation 145fe6b8-60a8-4bd3-a933-6aa0a5eaad46 · inbound

Reasoning Multimodal Large Language Model: Data Contamination and Dynamic Evaluation cites this paper.

Reasoning Multimodal Large Language Model: Data Contamination and Dynamic Evaluation NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:39.255176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:39.255176Z digest=sha256:dc417cb8cc260f23c2092e54a4b64df9ef9430955f4acf2ab96588102210f0b7

Observation ab83d070-3c04-44dc-b9e6-6c70cba195da · inbound

LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs cites this paper.

LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:28:40.881171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:28:40.881171Z digest=sha256:63e44a169737a352a8af9373b8198bf1ce3e8f256f2d3817de9bfc225937091d

Observation 54c5a251-52c7-496e-97db-ec3ed7ebaf2d · inbound

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems cites this paper.

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:23:50.574907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:23:50.574907Z digest=sha256:7d2c96da162de5a72af036745dba84982797e6f03e1ec0f6be26a5848f6012cb

Observation e246aa72-431c-45c7-9abf-971d75dd7ba9 · inbound

Integrating LLMs and Digital Twins for Adaptive Multi-Robot Task Allocation in Construction cites this paper.

Integrating LLMs and Digital Twins for Adaptive Multi-Robot Task Allocation in Construction NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:54.627307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:54.627307Z digest=sha256:78309759f4d771a3829e43ec1040062a6af82e715db4750738c0a8b5a25f8dfc

Observation 853e4453-753f-4fbd-8832-3fb5fb32b6d8 · inbound

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains cites this paper.

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T00:03:58.509677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:03:58.509677Z digest=sha256:757d961046cad0aeb7b560adce9a3fc1ff05973bcb8dc3ee16a229db29d4e4e3

Observation 2a023073-a666-49df-bd67-f5a2d60efaf8 · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:01:18.635644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:09bf1d6fecd90718d949b4c3b37488fbad9c7c21849941e5e9761627da7ffd33