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Paper Citation Record · LEDGER

How Does Generative Retrieval Scale to Millions of Passages?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.11841.

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

pith.paper-citation-record.v1
2305.11841 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:35.848800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:03.252172Z

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 b776b74d-81a4-4df0-8938-9e5a1d74c1fb · inbound

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! cites this paper.

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! How Does Generative Retrieval Scale to Millions of Passages?

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T23:40:11.133553Z

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.

source=arxiv_source observed=2026-05-15T23:40:11.018808Z digest=sha256:a30e4fe7aeb65240c2b569a021c2b6099c61c685cd6d908682c8419b647d9c10

Observation 0285bc49-176d-4762-8e80-03abfed515ce · inbound

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code cites this paper.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code How Does Generative Retrieval Scale to Millions of Passages?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:35.848800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:35.848800Z digest=sha256:deac480660f8a046cb9ecf78bd2237d0ac2a483d68e4a84845deef7b4e9e9c78

Observation b542b65e-9852-4e0d-b367-1c436b63109c · inbound

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cites this paper.

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval How Does Generative Retrieval Scale to Millions of Passages?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T09:50:45.627788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:50:45.627788Z digest=sha256:742943cfe857ae6c20258168676ad53c3cc4bd7df628cf77fdbd93390b8b7ac9

Observation 10371cc0-d7b6-4d27-aa5e-2ecfe5518df0 · inbound

Mitigating Collaborative Semantic ID Staleness in Generative Retrieval cites this paper.

Mitigating Collaborative Semantic ID Staleness in Generative Retrieval How Does Generative Retrieval Scale to Millions of Passages?

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:29.487936Z

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.

source=pdf_text observed=2026-05-10T13:55:29.531937Z digest=sha256:5a2de0a0bce03a56d696e91ee121f75f0890f31ff4518edc40685e1dc085b535

Observation 809ec00a-06db-49bd-bdf3-2346dc8944cd · inbound

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval cites this paper.

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval How Does Generative Retrieval Scale to Millions of Passages?

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:19:03.254689Z

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.

source=pdf_text observed=2026-06-26T22:43:03.892738Z digest=sha256:7f5257ae5d54704e0dadf4abff48606b0643167e529608ce12f19ac6f4e7cabc