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Paper Citation Record · LEDGER

Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2503.23895.

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

pith.paper-citation-record.v1
2503.23895 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:00.603680Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 32f7083c-547d-4356-8ce4-c929f7dc1907 · inbound

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models cites this paper.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:00.603680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:38:00.603680Z digest=sha256:e04317ee4073154c2873f1f34b35c4bc0ad5e667c9b22288c6d09e64e2996825

Observation 1ab7519b-2e80-47db-b325-e768c1c41a3c · inbound

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models cites this paper.

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T13:18:56.589490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:18:56.589490Z digest=sha256:a4d3ac0cf37ba474584688584f7bafe4717d0562f3954212565fa868bb9183a8

Observation ffc1d9ed-7db8-4c53-b85a-4cedb749a100 · inbound

Dynamic and Parametric Retrieval-Augmented Generation cites this paper.

Dynamic and Parametric Retrieval-Augmented Generation Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:56.340509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:54:56.340509Z digest=sha256:4e73289d29c83306a7103acf2b48fa5275576d868c89a89597e11ebb52ec45c0

Observation 295205d4-d1ba-4c94-aa88-832a949125ff · inbound

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T22:44:02.869515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:02.869515Z digest=sha256:6bf798e371251e5a237b892f775a5ede5d977c63fc277c0c6b03a5c51c7aff93

Observation 7bf07a55-0b9f-4e4f-858b-6d478993a7d4 · inbound

MemOS: A Memory OS for AI System cites this paper.

MemOS: A Memory OS for AI System Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:20:22.737506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T08:20:22.658329Z digest=sha256:1b6b22deb9c7d4d4a9917989c6dde049582f26d412e42a6232060a4b1fe7e133

Observation 4f823406-e5d9-42d1-a39d-82444c65b6a5 · inbound

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts cites this paper.

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T11:23:51.708527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:23:51.708527Z digest=sha256:a73b0745e7716100bff19a3d2573f020b724a6dc4ef1cbaef0125b219be1a796

Observation 1a001a04-8f2b-4e93-82ac-6eea4dc30e8a · inbound

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T23:37:57.741918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:37:57.741918Z digest=sha256:a08b860e67e1d111a32cd6b5e6ad813211f2337806aa065fe9f54e4494de9664

Observation eb9926dc-5247-452d-a9c0-5bde2814c730 · inbound

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters cites this paper.

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T04:20:53.746926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:20:53.746926Z digest=sha256:407e5c2e82c6b99f5d90f53df7d12c04216a421c82931dfd63a99aab6ba0df6f

Observation 9cdfdf3f-e278-4978-8c0d-24e8c95388de · inbound

Skill Retrieval Augmentation for Agentic AI cites this paper.

Skill Retrieval Augmentation for Agentic AI Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:56:20.036136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:44:33.631278Z digest=sha256:f0e6673f0fa08186e3d4559f828286d3591cc7bfd22abccbf48c6f5766f6ba96

Observation 4d9c2f7f-e48f-4477-b8c9-d4d2fc8dcb0d · inbound

Skill Retrieval Augmentation for Agentic AI cites this paper.

Skill Retrieval Augmentation for Agentic AI Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:50:28.554129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T06:46:49.931555Z digest=sha256:75645f2fba5f17151e46d31ec86f8ada570bb349aff1ad057412193e1447550a

Observation 529b9ba0-d004-4ea4-b661-6697786e3801 · inbound

Skill Retrieval Augmentation for Agentic AI cites this paper.

Skill Retrieval Augmentation for Agentic AI Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:34.831001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T08:52:34.254481Z digest=sha256:88e73c99d9b5fd5d08e2929bfab7bdf2113d4b29aca51db63b9ada9cbb436fda

Observation 0caf5aed-d81a-42e7-900f-b6abf25b89fd · inbound

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization cites this paper.

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:26:06.686631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T17:03:01.273990Z digest=sha256:0e988c60b0945119e58bbe01cb0e857b378fab92daeed791ee0404913b2b5962

Observation 52253ef6-936f-4029-be31-c2b73440bda3 · inbound

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning cites this paper.

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:33:13.247472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T07:23:53.695773Z digest=sha256:70d521c3af9ed96a727800fd9ae37bf31deaceb9dda4f8f07b4a0abb93c53efd

Observation 884f5a74-8952-4ccb-9c5a-9d6d87251a35 · inbound

Rethinking LoRA Memory Through the Lens of KV Cache Compression cites this paper.

Rethinking LoRA Memory Through the Lens of KV Cache Compression Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:16:58.804423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T01:26:09.996936Z digest=sha256:2618ba6f079ebfb5cbbc1c5033ba7a30f3bb52905f4dbee107176f67a4ea6e24

Observation 210f5a0b-afba-4027-adbb-1b78d72a4d46 · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:48:45.667990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T03:48:51.497061Z digest=sha256:0b5fa77b15aa5d2b83164eb887e038fc46da27105c5a9b178807cf8fae490392

Observation 08d9260e-1552-4252-a6f0-4798e2a36cf1 · inbound

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio cites this paper.

MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:24:36.375109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:23:03.764108Z digest=sha256:70b33e90fa674e6c21e030f20830f8e1f039e6857ce2f294956d1773958b767d

Observation 7059285d-71fc-42c5-ac93-7bdce70dea09 · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:42:25.894495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T17:41:09.141208Z digest=sha256:f9f70e5ffae82be04c56737e49e8564b2fa0f5b8dec5f90c504d5c1f73323a84

Observation fc61669f-6976-442f-b765-6a26ed47be92 · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-12T15:28:38.440688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:28:38.440688Z digest=sha256:41b09a18ed7e19fba31fbbb8eda4601e063c33fcf6846462e52227f78addea3a

Observation c062973d-2997-4efb-af76-4a6d24a0e237 · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-14T18:37:13.680462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T18:37:13.680462Z digest=sha256:d3aa4588b628fa6c3c19e651615d1d3dd13b19293ef2e0b09c83c259f5717fb5

Observation 50e26049-6cd3-49fa-867b-7fa74d644621 · inbound

RWGBench: Evaluating Scholarly Positioning in Related Work Generation cites this paper.

RWGBench: Evaluating Scholarly Positioning in Related Work Generation Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T12:42:27.910682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:42:27.910682Z digest=sha256:550af48ece09de635b020f223a6e1501178549d9adbea2a9dd5db7f79231010f