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Paper Citation Record · LEDGER

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2509.19376.

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

pith.paper-citation-record.v1
2509.19376 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:07:53.584783Z

measured 14 of 14 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49e5e490-4fbd-42c1-bb3d-b2f36bb20570 · outbound

This paper cites Improving Search Relevance for Implicitly Temporal Queries,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Improving Search Relevance for Implicitly Temporal Queries,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.464998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.464998Z digest=sha256:425751c2ced505fb5ba2c8a98fce33a7049f02a789da19d6482029aa7dafc171

Observation cffd6ea5-5f71-4418-8909-bf58b35b62bc · outbound

This paper cites Dynamic Topic Models,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Dynamic Topic Models,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.559223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.559223Z digest=sha256:3a990ba11dafac82749d3514f6f55cb7509dfc3cee70c89c45a96c4554c70dc3

Observation 22ae72bc-da6b-44b4-9342-83d83d852713 · outbound

This paper cites Temporal Summaries of News Topics,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Temporal Summaries of News Topics,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.626214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.626214Z digest=sha256:b7e059af75ff68392c29fbdbfb7dba944e438b7dd7746b0f5edf60bb9bd8e389

Observation 99567415-af66-4601-bf66-1dc9349f6b39 · outbound

This paper cites an unresolved cited work.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.690035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.690035Z digest=sha256:4ae170d4754b88c05e266ed9e542f818d2e1e111b94160f2cae9bf77b026439d

Observation fa3b616a-e2e6-4a57-8828-126e0d338bd5 · outbound

This paper cites Insider Threat Test Dataset,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Insider Threat Test Dataset,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.754756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.754756Z digest=sha256:ad7d369eb56ed0045097f41760f446a683ae5168d9ff25318c3c193dbdc28366

Observation 7da80024-1e6a-440a-89a8-6efc31590c5a · outbound

This paper cites Synthetic Generator for Temporal Evaluation,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Synthetic Generator for Temporal Evaluation,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.834751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.834751Z digest=sha256:1d9738bb5c01d06b0a8464f5b67742e83ba785b5262db81cee62649ff38a3b63

Observation 4237c34c-a1f4-492a-b944-8fe6e42d4da3 · outbound

This paper cites It's About Time: Incorporating Temporality in Retrieval Augmented Language Models.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG It's About Time: Incorporating Temporality in Retrieval Augmented Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.914747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.914747Z digest=sha256:422ceafe2a11975f504c57c903fc7244bebe2ba00e915f6bb894d67804217c15

Observation 0c45bc0a-ace1-4bfd-913f-88b1ff35f2a4 · outbound

This paper cites Reading Between the Timelines: RAG for Answering Diachronic Questions.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Reading Between the Timelines: RAG for Answering Diachronic Questions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:52.973760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:52.973760Z digest=sha256:e90c102a98d97617c59bfcb9960ec6d7a77af01af60b2e02735570493e9d1a81

Observation 53cd4dcf-b7b3-4d09-b6a8-c8af78f94f98 · outbound

This paper cites A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:53.069871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:53.069871Z digest=sha256:70823644cd558a32a875bd794ec287644a09135db5a7bea098a4284c6018a377

Observation f65beef5-5a3e-4669-b5f8-e60665d47bf6 · outbound

This paper cites Learning the K in K-Means,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Learning the K in K-Means,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:53.154744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:53.154744Z digest=sha256:3bef0dba3a30ca16ea3d7a2aa72d1bfe90790ae3a49578f0760a1c2712331bb5

Observation e980b785-6026-42af-83cc-08f3d3d45abd · outbound

This paper cites Bellman,Dynamic Programming, Princeton University Press, 1957.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Bellman,Dynamic Programming, Princeton University Press, 1957

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:53.254746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:53.254746Z digest=sha256:628c0108bd159039c29713dcc2905a02045b518a8165b67993432051809744de

Observation b587266e-f452-4c19-842e-ea8fc44fb72a · outbound

This paper cites A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:53.394769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:53.394769Z digest=sha256:c1f9cd68f97b0f43cba8b719cccfe28ec9e1cd7ededddc7e56144ff24e0d137f

Observation 2566cedc-2030-4c00-a65f-e7035dbcec4f · outbound

This paper cites Density-Based Clustering Based on Hierarchical Density Estimates,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Density-Based Clustering Based on Hierarchical Density Estimates,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:53.448571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:53.448571Z digest=sha256:156e0fb9f3c536b9219bf6832e7978708f8526baf1d77123deafb73f2ae792b8

Observation b7b6f71b-6286-40e3-aedf-3bf84a2a0026 · outbound

This paper cites Hierarchical Dirichlet Processes,.

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG Hierarchical Dirichlet Processes,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:53.584783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:53.584783Z digest=sha256:4ec27374cc65794ebdaf705c537a11e8689a1dd24e38a5a467196be2f9a4d38e

Pith citing papers

No inbound Pith citation observations are available.