Paper Citation Record · LEDGER

PPT: Pre-trained Prompt Tuning for Few-shot Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2109.04332.

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

pith.paper-citation-record.v1
2109.04332 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:20:32.469793Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.163212Z

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 754c65ba-4863-4b82-ba55-02b056f8a380 · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:32:33.563953Z

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 4a05abdf-034d-4bee-9039-8037ad9f7cac · inbound

Hymba: A Hybrid-head Architecture for Small Language Models cites this paper.

Hymba: A Hybrid-head Architecture for Small Language Models PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T16:20:32.469793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad4ec56-45e5-40a5-a2a5-9f92d00d59bd · inbound

Instance-Aware Graph Prompt Learning cites this paper.

Instance-Aware Graph Prompt Learning PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.696323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17d2bad-5925-44c8-9db0-10da4307fe46 · inbound

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis cites this paper.

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T21:06:56.966307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 517d6aa6-979a-4842-a0e5-e3e409206b80 · inbound

CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets cites this paper.

CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:41.786939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e33a1f-fbde-47be-8efa-2324bd0c6434 · inbound

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono cites this paper.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:51:12.124752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c565ec-9020-4a27-adab-2919c2d7838d · inbound

MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery cites this paper.

MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T21:39:57.652312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5889d7bf-c960-4931-a6f9-32273fad0234 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 156

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:02:45.012569Z

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 de659a86-02eb-4d45-882f-efbe05a8f1c7 · inbound

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation cites this paper.

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:02.268463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba7897d-c4d9-4803-a810-f6d225f73e52 · inbound

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering cites this paper.

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:10.520637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06241424-df58-4ad2-b92c-48ca5ff65bd8 · inbound

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:04.414376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 298261b1-61cc-4c71-a3eb-a464b76f3c39 · inbound

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation cites this paper.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:05.682604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded21617-762f-4eab-9429-142acbf17f72 · inbound

GRID: Scaling Task-Agnostic Inference in Continual Prompt Tuning cites this paper.

GRID: Scaling Task-Agnostic Inference in Continual Prompt Tuning PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:28.942688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7d8920-f901-4044-90c3-c13f23460a4d · inbound

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

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:55:51.308913Z

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 1ed903a1-754a-4d13-b64f-95c874d4b702 · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 177

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.164630Z

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.