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Paper Citation Record · LEDGER

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2112.09924.

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

pith.paper-citation-record.v1
2112.09924 v2

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 2026-08-06T21:02:57.073520Z

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

24
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 d8c90904-42d6-4a85-a0b6-4ba6f38da032 · inbound

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

Atlas: Few-shot Learning with Retrieval Augmented Language Models The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T13:48:43.134689Z

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=2026-05-16T13:48:43.024120Z digest=sha256:fee9a4980f8b22fe3052adba6ccf1f2aff3c768f12d4225fb23c7302f55cc789

Observation 73b12b2e-1f34-418a-90dc-eaa552f1921c · inbound

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

Atlas: Few-shot Learning with Retrieval Augmented Language Models The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 233

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:48:43.464885Z

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=2026-05-16T13:48:43.024120Z digest=sha256:358d9c8f624048eea35f0a20e148afe23ec9285c35d962c8f99c35a34be7613d

Observation 432f8545-d18c-4e48-b91b-3c4ec9d365f3 · inbound

Corrective Retrieval Augmented Generation cites this paper.

Corrective Retrieval Augmented Generation The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:19:17.314599Z

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=2026-05-12T11:19:17.120464Z digest=sha256:029871781ad7a04c4366189f25d3f3e1679d13fe97beeee57bcef039b9f3a369

Observation 7773f8fb-fdd4-4faa-a1ce-cc8cbdf389f0 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:09.251423Z

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=2026-05-22T21:20:07.238992Z digest=sha256:787230096c7cb424ab16d6e460621494ec1cdd4f4a2fbd86c3e186bf1f2b8ebb

Observation 28723e93-7189-412a-9986-8d8a125430e4 · inbound

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models cites this paper.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:42:09.098818Z

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=2026-05-19T07:39:55.633854Z digest=sha256:48c82026938600856e525b622dae04bf7fe335a3a8bc9042972a16a7bf51c210

Observation 267fdde8-8411-4cf6-bf30-0dd89bed84d4 · inbound

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks cites this paper.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:57.073520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:57.073520Z digest=sha256:847003fb0c361761928e1e53d4c54e8b8665be487b1668ca5908e41a9317199c

Observation ecfa6013-6de6-4cff-9e80-9c5a5e17b9ed · inbound

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering cites this paper.

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.249660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:01:29.249660Z digest=sha256:9373436c4ff4863ac390a664d1e7188efeb005772ebadd767faeae8510c81d83

Observation 5c53a816-0e25-4b9e-a815-8295b0d6db31 · inbound

Learning Facts at Scale with Active Reading cites this paper.

Learning Facts at Scale with Active Reading The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T21:05:45.234867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:05:45.234867Z digest=sha256:abe495296902a72ff96eb61fb12e79e22304bb870bbf567a3a64d91f220234e3