Paper Citation Record · LEDGER

Distilling Knowledge from Reader to Retriever for Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2012.04584.

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

pith.paper-citation-record.v1
2012.04584 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:56.297304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T20:55:15.264380Z

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 1808cb02-3488-4f9b-ae92-223a5d68703c · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Distilling Knowledge from Reader to Retriever for Question Answering

Reference 139

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:21:17.163959Z

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.

Observation b6a18d32-e6ba-4ec0-aa88-68498353bc82 · inbound

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval Distilling Knowledge from Reader to Retriever for Question Answering

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:07:16.380217Z

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.

Observation 334e0148-a944-4585-a0fc-045b3977c3d1 · inbound

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation cites this paper.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Distilling Knowledge from Reader to Retriever for Question Answering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:56.297304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed593654-ec87-448a-8235-b04e628dcf7c · inbound

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective Distilling Knowledge from Reader to Retriever for Question Answering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:40.164696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6d52d2-3e0c-4d7b-a0e6-390c796e403e · inbound

RAG for Geoscience: What We Expect, Gaps and Opportunities cites this paper.

RAG for Geoscience: What We Expect, Gaps and Opportunities Distilling Knowledge from Reader to Retriever for Question Answering

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T20:06:21.275639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1861ec53-c312-4119-8435-72d897cc86e1 · inbound

Attention Grounded Enhancement for Visual Document Retrieval cites this paper.

Attention Grounded Enhancement for Visual Document Retrieval Distilling Knowledge from Reader to Retriever for Question Answering

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:55:15.274201Z

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.

Observation 4477bca8-4db8-464f-9931-ab3aff114521 · inbound

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling cites this paper.

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling Distilling Knowledge from Reader to Retriever for Question Answering

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:10:55.002548Z

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.

Observation 5456d8de-99d7-44af-bc39-af8329bc8ba0 · inbound

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Distilling Knowledge from Reader to Retriever for Question Answering

Reference 153

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:21:10.303289Z

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.

Observation 9619e3f9-7005-43fd-b742-5a2449e5d273 · inbound

Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter Tuning cites this paper.

Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter Tuning Distilling Knowledge from Reader to Retriever for Question Answering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T16:08:01.254231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4370a0a0-4ad2-4be9-b247-33a7b29c51c6 · inbound

PROBE: Benchmarking Code Generation in Large Language Models cites this paper.

PROBE: Benchmarking Code Generation in Large Language Models Distilling Knowledge from Reader to Retriever for Question Answering

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T03:41:04.355532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.