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Paper Citation Record · LEDGER

DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.23013.

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

pith.paper-citation-record.v1
2503.23013 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:41.558233Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:28:34.002836Z

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 8d613c87-3c9f-4028-988f-8b1aa4e86deb · inbound

Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models cites this paper.

Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:41.558233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:05:41.558233Z digest=sha256:b210c059873580e844952238d2a3f8afb37b6e6d674db015332a113f77045362

Observation 0fe29a68-d1ec-474f-bcee-d79ffb56d37c · inbound

Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation cites this paper.

Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:12.694859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:12.694859Z digest=sha256:325fa04b7aec24f024d6ac3353b208595a46854d5d999ecb40d8826e2e16a4ca

Observation 221d8e72-add4-493a-bc52-a642be58a07b · inbound

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead cites this paper.

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:23:02.645517Z

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=2026-05-13T17:19:40.630283Z digest=sha256:887d0fef342bd1bf3b4b4a80d05de645ad8031ed1f44096cb6d482d42751a28b

Observation 23a50174-14e2-4bdf-9f11-b192ec1c0ca8 · inbound

H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations cites this paper.

H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:46:10.098371Z

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=2026-05-09T19:22:10.806765Z digest=sha256:e4a2381b800377571a5ba846de4d7c9e049f36608ddaf46e701dd2165789e197

Observation db2e59de-2817-4cf4-a240-649dd31ccc84 · inbound

From Intent to Execution: Composing Agentic Workflows with Agent Recommendation cites this paper.

From Intent to Execution: Composing Agentic Workflows with Agent Recommendation DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:46:42.863780Z

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=2026-05-07T16:19:39.392516Z digest=sha256:a72b6847f76a8ffca5f9c940e0fe976ea6193c1884f4b43a291473cec2933d98

Observation 8e8770c6-4aec-4123-8b61-7744285cc588 · inbound

SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs cites this paper.

SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:16:00.182559Z

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=2026-06-28T23:03:53.666819Z digest=sha256:f3fa114c5967547ee87a65c9e75b18b5c0a1ae53cc77f622447d87143015b186

Observation 655e2b7f-5f83-45b9-9d64-1a867e9fe71c · inbound

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking cites this paper.

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:56:13.829871Z

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=2026-06-28T17:38:21.242007Z digest=sha256:846b97738a2a57ba1674e785b30f2cf9e4dd814a7e5f5c305fd5847e3e1e0028

Observation 2df73681-501d-4ecb-90a9-0e4f45b688e8 · inbound

Rethinking RAG in Long Videos: What to Retrieve and How to Use It? cites this paper.

Rethinking RAG in Long Videos: What to Retrieve and How to Use It? DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:28:34.005421Z

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=2026-06-27T06:30:33.428489Z digest=sha256:26c184ee334ebe4c01390794da003ae4ff9839680ebcfcd01a446186245b1961