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Paper Citation Record · LEDGER

Symbol tuning improves in-context learning in language models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.08298.

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

pith.paper-citation-record.v1
2305.08298 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:37.945506Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T14:48:08.726227Z

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 7cf54401-f4f0-4986-95c2-08cefc9a2940 · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Symbol tuning improves in-context learning in language models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:48:08.728461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-16T14:48:08.508109Z digest=sha256:b3fde44dbf189db491f7329d822626ae209de6649bf006be45eb461634d41ecd

Observation 69af4266-fbc1-4a95-8cc3-37b2bc61959a · inbound

SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization cites this paper.

SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization Symbol tuning improves in-context learning in language models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T19:07:30.189935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:07:30.189935Z digest=sha256:9e11bba194a8df526f46e6030e8bffc6036a1376a7d672de957a433586c7d5e9

Observation e484e794-b2fb-473d-9cd7-6153f11c3d3b · inbound

Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production cites this paper.

Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production Symbol tuning improves in-context learning in language models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T17:45:31.877446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:45:31.877446Z digest=sha256:83f07e4586f64f8eef0900c6f7d223627b7ae9a8166b05560b9ba9631327cde6

Observation 2c2d99e8-6dab-4dc9-9b7d-4063e89e6821 · inbound

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks cites this paper.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Symbol tuning improves in-context learning in language models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:54.126808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:29:54.126808Z digest=sha256:96891cf907bb16ebef1fb74198d9cb4d0bb47160589465135044d56302e1af92

Observation 726afa35-c252-4416-8545-3765528f6b30 · inbound

StaICC: Standardized Evaluation for Classification Task in In-context Learning cites this paper.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Symbol tuning improves in-context learning in language models

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:14.511941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:06:14.511941Z digest=sha256:342884ab4478b21bf8b0de3dc59a3eaa8d199e4c6e53b0887ac0fa63dc81ebee

Observation f9b37ec7-b330-41de-92d1-54e1c4760f1b · inbound

KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning cites this paper.

KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning Symbol tuning improves in-context learning in language models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T15:56:37.945506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:56:37.945506Z digest=sha256:37eae4bb9153e87a8262ca59d867b3e25e227b28023bb151102865759f1f9c3e

Observation 4e43b4c2-c356-4be5-8fdf-56073370dc04 · inbound

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling cites this paper.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Symbol tuning improves in-context learning in language models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-12T14:10:45.245589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:10:45.245589Z digest=sha256:e29f77b23762e9ea602c4d55d2027683c3fd69dd1d8d70a041bbdc26617227d8