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Paper Citation Record · LEDGER

Training Plug-n-Play Knowledge Modules with Deep Context Distillation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.08727.

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

pith.paper-citation-record.v1
2503.08727 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:26.753202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:43.909755Z

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 e7804b4a-2cb1-4c0d-a04b-d20d792b3892 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:26.753202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:26.753202Z digest=sha256:8f9c3a40c0dd506edb0007d11cea7bba7d7a20e0663efc4adf281393fdacc0e8

Observation 0f31cf42-e439-42ff-9dd2-223d17a32233 · inbound

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models cites this paper.

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:55:56.486054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:55:56.486054Z digest=sha256:b33e20aba0d101fdcb979f1727defd4ef15581dcb799e0b97f85fb2c3d378303

Observation ce89dc39-2daf-4851-ada4-258c916c460c · inbound

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks cites this paper.

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:39.829866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:34:39.829866Z digest=sha256:52914525103d24cbe5cd4c8cfb0f210adbd437b5cb98564b712bb536452db4f3

Observation 8aa7a578-f093-4b4e-a31a-f794bf741385 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:15:56.160303Z

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.

source=pdf_text observed=2026-05-10T18:36:44.401045Z digest=sha256:3af9fe4292bb04140068faa66fb5142d8a5aab60f8d335849192219d052e0be8

Observation 83051b19-7be0-4b3c-87ba-ac48dc5ea0e0 · inbound

Nectar: Neural Estimation of Cached-Token Attention via Regression cites this paper.

Nectar: Neural Estimation of Cached-Token Attention via Regression Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:25.411661Z

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.

source=arxiv_source observed=2026-05-12T02:42:44.058913Z digest=sha256:639fc4a9f5d4bf7a24d78d06771e9747812573ecabb400d4dc0a65c3cb1e5b5f

Observation fa5103c1-7c81-41f1-b9d8-1221bc3b70e6 · inbound

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference cites this paper.

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T21:43:59.530206Z

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.

source=pdf_text observed=2026-06-29T21:37:51.638904Z digest=sha256:e68b76ca47aa66cc4885c203f3688ecae2da870346d52e1d71464aa1dc41aacf

Observation 2d963b23-7fb6-4510-9e4c-1d35b08463b1 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 109

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:26:26.848806Z

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.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:9d166c3bcc707c32ada58eccf23cd32cfbb105a643c920521864d26fd363f56c

Observation 88bd2993-8c41-40b8-b2c2-9be698bb00b0 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 109

Resolution
unresolved
no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:44:25.325808Z digest=sha256:67f6a3822e37692cc3ae3fc665fadef97ada8da1b89fb215a7b73e342f11366d

Observation 525b26fc-588e-4f03-9495-6b899802d530 · inbound

Frames2LoRA: Parametric Video Internalization for Vision-Language Models cites this paper.

Frames2LoRA: Parametric Video Internalization for Vision-Language Models Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:43.911176Z

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.

source=arxiv_source observed=2026-06-28T07:13:05.791836Z digest=sha256:0a988e054a1b938ab841a759a562fb3a7ef40212e0d5fb150161a7826e98c6de