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Paper Citation Record · LEDGER

When do you need Chain-of-Thought Prompting for ChatGPT?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.03262.

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

pith.paper-citation-record.v1
2304.03262 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:18:03.753981Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:51:03.658585Z

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 76872a98-31be-4bdd-9828-de0871145af3 · inbound

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs cites this paper.

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs When do you need Chain-of-Thought Prompting for ChatGPT?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T17:18:03.753981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:18:03.753981Z digest=sha256:377dcbe2c12e3fef96489346c351217cacee406e0df011c136151fac776358ae

Observation 3b65628b-81dc-45b4-8a05-130f92422814 · inbound

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? cites this paper.

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? When do you need Chain-of-Thought Prompting for ChatGPT?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T12:53:38.744984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:53:38.744984Z digest=sha256:e27f678df07110712594dbd059ff3ad08510f28e84c5757ee454f37211c7650a

Observation cfbd6269-5c0f-4a6b-a949-008a74cd9734 · inbound

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions cites this paper.

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions When do you need Chain-of-Thought Prompting for ChatGPT?

Reference 318

Resolution
unresolved
no resolver link, observed 2026-08-10T22:45:30.319533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:45:30.319533Z digest=sha256:34d98c24353ae099a27463ab8b8429b662ffeb8fe0deae5cbe29d4c9f87ef7d0

Observation d2c70843-27e6-4d6b-9b38-d4c040e97fba · inbound

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion cites this paper.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion When do you need Chain-of-Thought Prompting for ChatGPT?

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T18:39:26.864954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:39:26.864954Z digest=sha256:2a7a25fb4bda9e8cb4c5cfe3112a954ca04d0af77771cb33588eea5909f02f50

Observation b31448a1-f5e0-4eb8-bb31-e6841d9fac43 · inbound

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation cites this paper.

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation When do you need Chain-of-Thought Prompting for ChatGPT?

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:51:03.664636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:51:03.297422Z digest=sha256:0406fe535e29cd91fafaea2d981f7740ccfdc44de6c2a671ac37683a12b02c83

Observation 565ff6b2-fd29-4c16-a4b2-1e9f71d5d1af · inbound

Challenges in annotations by humans and LLMs: A case study of evaluative language cites this paper.

Challenges in annotations by humans and LLMs: A case study of evaluative language When do you need Chain-of-Thought Prompting for ChatGPT?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T17:19:08.303190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T17:19:08.303190Z digest=sha256:99b93995efa44839cd36d720c1ef6aa9bc62b407c9caad2ceb7e2ee20311410e