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Paper Citation Record · LEDGER

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.10276.

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

pith.paper-citation-record.v1
2305.10276 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:48.118975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:12:20.771011Z

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 4ea05107-40b0-4e9b-8155-8262db635be1 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:12:20.774380Z

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=2026-05-23T01:08:58.528533Z digest=sha256:3208116851dd7fba6182c6f2e00dd4a17e64c754aed20a37eabd8dc1a6bb27d7

Observation a241cba3-ce08-431e-90ed-5525cdbb95cc · inbound

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning cites this paper.

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:48.118975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:48.118975Z digest=sha256:b0d7063e957fae933871787674ab8ebf437cd61b7defb7dada0b8855c75dba20

Observation eb561803-bab5-415d-a9e3-6d9f27f9f182 · inbound

From Prompts to Pavement: LMMs-based Agentic Behavior-Tree Generation Framework for Autonomous Vehicles cites this paper.

From Prompts to Pavement: LMMs-based Agentic Behavior-Tree Generation Framework for Autonomous Vehicles Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:30:17.854286Z

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=2026-05-21T15:28:09.702566Z digest=sha256:1e0b85fde735d81775aa93f26ce0c9e00bd90073c87336a5c6dc0250afaed8f8

Observation 98506d08-5f72-45a9-bfe5-a9b0d426396d · inbound

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision cites this paper.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:13:13.307817Z

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=2026-05-13T20:11:58.423612Z digest=sha256:f9b29e892e87e9c0407074af1879a5859d7a6a7756c5acf6076a74f5f44daa0e

Observation 5aab1eff-2bce-4e79-937f-b0145172d945 · inbound

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision cites this paper.

Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:32:41.686291Z

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=2026-05-19T17:30:08.755545Z digest=sha256:0800a3e596d36573a7be611db9d34bf23ccc212ce518a0322f009330459cca04