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Paper Citation Record · LEDGER

The CLRS-Text Algorithmic Reasoning Language Benchmark

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.04229.

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

pith.paper-citation-record.v1
2406.04229 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:33:49.218504Z

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

0
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 c48aaa80-7339-4a1b-8956-8aa715d29f5a · inbound

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models cites this paper.

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:42:12.046595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T00:42:11.891829Z digest=sha256:c827600dd84cdc696f9c9c191e75aa51b159e2047f60fa3e8ab143d0df48c62f

Observation 015883ea-5276-435d-8f02-0f1cd7abac07 · inbound

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks cites this paper.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T00:33:49.218504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:33:49.218504Z digest=sha256:ec62bad21cc60d1ed22a55e2a2af118c34da20bf137d7caa7a6ece6ab6b98f31

Observation 5a6be35d-6b89-4932-ac5d-b70b9893f96a · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:39:40.950070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:c950de4d596b3ffbef43077b58e0744c6f22c7cc65f4a951e70c82eea5f0ce02

Observation 61c7f312-da73-4548-b590-670f85b75f4f · inbound

Spectral Journey: How Transformers Predict the Shortest Path cites this paper.

Spectral Journey: How Transformers Predict the Shortest Path The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T23:44:10.827066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:44:10.827066Z digest=sha256:9b0755c8d4316f63735696c8a7531616f6a2d5d593d39ed6924de9bb1d2b7504

Observation 921699bc-5eec-49e9-b5b7-0b2a3de27276 · inbound

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning cites this paper.

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T19:22:02.430464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:22:02.430464Z digest=sha256:11d5af66555b5616461708c791b8e705db4bfc6001f3c414c4f854ebb2933874

Observation 99dfe176-702c-4086-87ed-811dfbb60f13 · inbound

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks cites this paper.

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T06:26:57.013652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T06:26:57.013652Z digest=sha256:5a57cd0e1dd94d41b79916bfe35dfc35e89e3a78c419306998d206fdf88f92ca

Observation 60b7d41a-fb58-410c-9fa4-358847c8206f · inbound

Closed-Loop Graph Algorithm Execution with Small Language Models: Step Accuracy and Rollout Reliability cites this paper.

Closed-Loop Graph Algorithm Execution with Small Language Models: Step Accuracy and Rollout Reliability The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:19:57.918233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T00:45:31.424547Z digest=sha256:24a7a7f9b48e6b309ad5b1aec89522d4198565c4f384e1e073e5bf93ab15e885

Observation d8caa506-7b4c-4fa5-ae2f-83bdd1f1dfd1 · inbound

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models cites this paper.

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-14T12:50:33.254161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:50:33.254161Z digest=sha256:0121148ab480e93150718d3834004edddd5a669459ae026f1cc430752d28f137

Observation e1798f1c-6a9c-46e4-ae61-0caf53b29e1a · inbound

Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms cites this paper.

Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-30T11:33:02.603897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:33:02.603897Z digest=sha256:f6f2738a3173f9fd1480be8178826f4f71b55b036882981593214300db152c93