Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:25:36.874829Z

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 1e5a9122-8dc9-4819-a64f-a4d17898a199 · inbound

Disentangling Memory and Reasoning Ability in Large Language Models cites this paper.

Disentangling Memory and Reasoning Ability in Large Language Models Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:36.874829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c191b15-c134-44c5-9481-af3df04b919c · inbound

PDDLFuse: A Tool for Generating Diverse Planning Domains cites this paper.

PDDLFuse: A Tool for Generating Diverse Planning Domains Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.697718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db79845e-fa4e-4903-8371-91f52f694dae · inbound

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T22:51:52.346563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

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.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.