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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:1f8f1620f61f80a411f250aaea2af8531e9743e64c044dbac4b32c3133e67798

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=sha256:4042ea51b876f8be4d862670700b7d405949855256fa3ab4bc1bccb044a62e92

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T15:28:09.702566Z digest=sha256:5098e8bd41d506a8ebed3fef237a7b1ea208bee71e50bfa95a5bded1ae0bd68d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T20:11:58.423612Z digest=sha256:5eafa6e6c444a312b1c406c1146046ecd01915c8bb7cd33eb52a0fae9a7a6f1c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T17:30:08.755545Z digest=sha256:705c7b38a1d788ffe3179b41cb010e6b12f24226b967d1be12500a5087c9da79