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Paper Citation Record · LEDGER

Dr.ICL: Demonstration-Retrieved In-context Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.14128.

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

pith.paper-citation-record.v1
2305.14128 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:54:01.901636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:28:04.252844Z

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 ba6ce78e-a94a-404d-bddc-d5688772f426 · inbound

Vector Retrieval with Similarity and Diversity: How Hard Is It? cites this paper.

Vector Retrieval with Similarity and Diversity: How Hard Is It? Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:45:32.810628Z

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=2026-05-25T08:43:13.858351Z digest=sha256:5532d3f4d03c8015c73fe769f5d46502ab3fdcf66eca927ba68f586e62be1524

Observation cf7ae6e9-c743-4daf-ad54-def418e6e5af · inbound

Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction cites this paper.

Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T04:54:01.901636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:54:01.901636Z digest=sha256:b0be3acc9c1af06761052ca02b9907712d600b66e5f8e3d2356bdd6255f477fc

Observation 2aeb5817-7e52-4d01-8839-944bf54180b0 · inbound

The Role of Diversity in In-Context Learning for Large Language Models cites this paper.

The Role of Diversity in In-Context Learning for Large Language Models Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:37.600669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.600669Z digest=sha256:b19f033b27196c65cc006245ea192b71f889fc4df0d39c76242880aa2fc255c3

Observation 5f3cf07b-2661-4ef7-8945-e8ff561249e3 · inbound

Learning to Select In-Context Demonstration Preferred by Large Language Model cites this paper.

Learning to Select In-Context Demonstration Preferred by Large Language Model Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.431355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.431355Z digest=sha256:8a8220569cc975b2866d101c859d923c60ffbbcd0874badd6b5570bc2fae1a80

Observation 5001636d-13a9-4782-b848-b66893cd7b93 · inbound

Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching cites this paper.

Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:25.481178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:45:25.481178Z digest=sha256:95a107ae663d11d2dbf1933bd00d6ce3042948942897d2c7b6dd59d6d93e5ba0

Observation 4ff23786-50ca-40b5-99ba-1acc4bbeee9b · inbound

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples cites this paper.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:54.528660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:54.528660Z digest=sha256:cb160dea2ebe38a1136372c78c4237bbd11c353891e4cdc87c5f9ca61ffe1a55

Observation 035ca300-5e66-470f-b826-3f66f5e525a9 · inbound

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval cites this paper.

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T22:12:11.330184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:12:11.330184Z digest=sha256:0363a8c8196057ac13e225b5290fa7d8c0dd13ec9058082d81e1baaff80b9182

Observation a6866c2f-d00f-42a4-9135-c02de8ffb380 · inbound

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis cites this paper.

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:29:53.402240Z

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=2026-05-15T09:29:11.147253Z digest=sha256:ee10f716f95141067bca837e4d6327c24c09352e2debfdfadff12afd92c44de6

Observation c8cfd279-0eea-4e3b-8987-ad6133dca7f2 · inbound

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis cites this paper.

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-13T23:12:55.091668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:12:55.091668Z digest=sha256:5ebd8143a0ec6ffa649498d02b25848240f4a02dc03ad8ebeb4503afc74f42a6

Observation f83b4a8d-3827-4e9f-99fd-c00237a7fefb · inbound

Many-Shot CoT-ICL: Making In-Context Learning Truly Learn cites this paper.

Many-Shot CoT-ICL: Making In-Context Learning Truly Learn Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:35:04.191947Z

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=arxiv_source observed=2026-06-30T21:34:00.569884Z digest=sha256:0574663bd1d8ab6a13c6b7717c2dde4bc9267d00e5e8dd541837926e7fcf0fc9

Observation 4dfd3a0a-cbef-4252-9322-d4cd67bdd65d · inbound

Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval cites this paper.

Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T22:05:49.725092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:05:49.725092Z digest=sha256:87e079e1671e5a757fc581c4ce7c8e79a98fb1ff0fd49a318e597f02fc11693c

Observation e637aabf-a534-4df9-b8f6-6443c32d8321 · inbound

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models cites this paper.

GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:28:04.254399Z

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=2026-06-27T09:34:20.560870Z digest=sha256:d969eab16c995182c61e74b8007e9dd4de4eaa22b02036fd7f07f8f76382d4ee