Paper Citation Record · LEDGER

Making Pre-trained Language Models Better Few-shot Learners

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2012.15723.

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

pith.paper-citation-record.v1
2012.15723 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:01:02.094523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:28:55.729805Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 fc9c85b0-7973-4171-ad8e-ae715ba7a32c · inbound

On the Power of Foundation Models cites this paper.

On the Power of Foundation Models Making Pre-trained Language Models Better Few-shot Learners

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-24T10:49:21.430197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18ec9b8f-4939-4729-a3d8-7a02344a28fb · inbound

Generative Agents: Interactive Simulacra of Human Behavior cites this paper.

Generative Agents: Interactive Simulacra of Human Behavior Making Pre-trained Language Models Better Few-shot Learners

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:05:13.661412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2bbe3d9-ec7a-4b81-94eb-007cdbdabd5b · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Making Pre-trained Language Models Better Few-shot Learners

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.341541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0ad00d0-6e12-4b5c-a8bf-04c3bbf55c95 · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers Making Pre-trained Language Models Better Few-shot Learners

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:04:31.264671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 41e1c66d-319d-4d45-9d53-e601f734d7cc · inbound

Test-Time Alignment via Hypothesis Reweighting cites this paper.

Test-Time Alignment via Hypothesis Reweighting Making Pre-trained Language Models Better Few-shot Learners

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:57:40.448512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac60ff75-cae8-446e-b95d-944f007aa685 · inbound

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic cites this paper.

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic Making Pre-trained Language Models Better Few-shot Learners

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-09T17:01:02.094523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68610baa-89c9-4079-a5aa-14d819cd35ca · inbound

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment cites this paper.

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Making Pre-trained Language Models Better Few-shot Learners

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T13:42:39.684082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de8e0f8-411f-44ab-8d66-ee52e1785173 · inbound

Dynamic benchmarking framework for LLM-based conversational data capture cites this paper.

Dynamic benchmarking framework for LLM-based conversational data capture Making Pre-trained Language Models Better Few-shot Learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T12:15:05.255887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07eeeb90-0e34-4245-b65c-b4a946e694c8 · inbound

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection cites this paper.

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection Making Pre-trained Language Models Better Few-shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:35.992879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12a28125-2be4-4f88-8f50-e7e8866c5b6c · inbound

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework cites this paper.

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework Making Pre-trained Language Models Better Few-shot Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:07.442968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 521266eb-4e48-445d-b1ad-bb415a42194d · inbound

Structuralist Approach to AI Literary Criticism: Leveraging Greimas Semiotic Square for Large Language Models cites this paper.

Structuralist Approach to AI Literary Criticism: Leveraging Greimas Semiotic Square for Large Language Models Making Pre-trained Language Models Better Few-shot Learners

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:33:19.358777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f84f94-0a8a-4a8f-9439-608d25383050 · inbound

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis cites this paper.

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis Making Pre-trained Language Models Better Few-shot Learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:21:13.277747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a27bee6-f668-40c0-99e0-298ed4972ec9 · 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 Making Pre-trained Language Models Better Few-shot Learners

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:03.338566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4562dc1d-1869-48be-ad85-1c5d0cb7803d · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Making Pre-trained Language Models Better Few-shot Learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:33.586718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e5391aa-1ea2-4ca7-ad42-7c5d739660c1 · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation Making Pre-trained Language Models Better Few-shot Learners

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.814466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22668ef-f47a-4a1b-9027-4ec08c222626 · inbound

Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems cites this paper.

Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems Making Pre-trained Language Models Better Few-shot Learners

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:50.801706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5918a488-d4e0-40d4-a53e-db39cc715a5a · inbound

The Few-shot Dilemma: Over-prompting Large Language Models cites this paper.

The Few-shot Dilemma: Over-prompting Large Language Models Making Pre-trained Language Models Better Few-shot Learners

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T16:31:56.955335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7df2253-564c-483d-8476-910ae0751bf8 · inbound

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization cites this paper.

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization Making Pre-trained Language Models Better Few-shot Learners

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:05:21.471591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b4c49d8-e1d0-4b41-9ecf-870bd93bca38 · inbound

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning cites this paper.

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning Making Pre-trained Language Models Better Few-shot Learners

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:55:51.275054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa78f0f8-4fd3-410b-96d7-f4cf58129a56 · inbound

Brick-DICL: Dynamic In-Context Learning for Automated Brick Schema Classification cites this paper.

Brick-DICL: Dynamic In-Context Learning for Automated Brick Schema Classification Making Pre-trained Language Models Better Few-shot Learners

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:28:55.731467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39a434df-605f-4c47-a180-318eeb3fb05d · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Making Pre-trained Language Models Better Few-shot Learners

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:05:43.600949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.