Paper Citation Record · LEDGER

Is Retriever Merely an Approximator of Reader?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.10999.

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

pith.paper-citation-record.v1
2010.10999 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:43.333192Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:48:43.309375Z

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 922ebb6d-756c-4d36-bae3-ffc6ef81ea9b · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Is Retriever Merely an Approximator of Reader?

Reference 178

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:21:17.360172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73e35f98-7d53-49bb-827e-aa9f5979ce86 · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Is Retriever Merely an Approximator of Reader?

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:48:43.311001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5939f48c-ac4a-4187-b4b4-7f91fe447ec1 · inbound

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data cites this paper.

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data Is Retriever Merely an Approximator of Reader?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:43.333192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2ed5542-c425-40bb-902f-434ced401127 · inbound

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds cites this paper.

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds Is Retriever Merely an Approximator of Reader?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:42.003536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.