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Paper Citation Record · LEDGER

Survey of Vector Database Management Systems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.14021.

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

pith.paper-citation-record.v1
2310.14021 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:12.358340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:38:18.628182Z

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 0e749176-c8c3-4d43-b144-6d7a456461e9 · inbound

Bang for the Buck: Vector Search on Cloud CPUs cites this paper.

Bang for the Buck: Vector Search on Cloud CPUs Survey of Vector Database Management Systems

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T22:17:12.358340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:17:12.358340Z digest=sha256:4bee266365683d2029eb93014c34d58e824af0f5c2dba8316288b97052c4e481

Observation e6ce78ac-8168-4ccd-9e6b-3275560aa276 · inbound

Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities cites this paper.

Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities Survey of Vector Database Management Systems

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:23.150767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:23.150767Z digest=sha256:6275ff93acd92d0f767c43ab49195adea98decece83b08b57ee67de94d350416

Observation 7ab43fd8-625e-462d-96e4-f961c7710713 · inbound

Write-Read Decoupling in Modern Large-Scale Search Engines: Architectures, Techniques, and Emerging Approaches cites this paper.

Write-Read Decoupling in Modern Large-Scale Search Engines: Architectures, Techniques, and Emerging Approaches Survey of Vector Database Management Systems

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:05.101511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T14:52:52.968368Z digest=sha256:da10e1e760c4b0af008f9ef2a387dbe49eec2c8554c9e6845ba8ac03258568ce

Observation af77b009-1d0d-4ae6-862b-38842e479636 · inbound

Larch: Learned Query Optimization for Semantic Predicates cites this paper.

Larch: Learned Query Optimization for Semantic Predicates Survey of Vector Database Management Systems

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:26.154960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T19:21:22.978335Z digest=sha256:e72b4eaa234dcd71f382f32cae2177a33944263c27afb3c91cce5f6d6d3bd383

Observation b446289f-618b-457b-90ed-4542eed38218 · inbound

Efficient Graph Indexing for Interval-Aware Vector Search cites this paper.

Efficient Graph Indexing for Interval-Aware Vector Search Survey of Vector Database Management Systems

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:18.629534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T07:49:49.397065Z digest=sha256:5a507660c3714782fbb91521c4fc758cb31e814d2f2414ad57969030085ddf07

Observation 71a189d2-19ec-4df1-b4c9-874055a7bc7f · inbound

RACORN-1: Adaptive Recall-Preserving Speedup for Low-Selectivity Filtered Vector Search cites this paper.

RACORN-1: Adaptive Recall-Preserving Speedup for Low-Selectivity Filtered Vector Search Survey of Vector Database Management Systems

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:16:33.302851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T03:11:31.712329Z digest=sha256:cc567fa4ceabcc8e152b249278ce484f15786eeb72b64c7bbc41d3674e2aaed2

Observation d8131fc9-f083-4d85-bdb7-cc9d4d3d7158 · inbound

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation cites this paper.

TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation Survey of Vector Database Management Systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-30T10:56:48.223099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:56:48.223099Z digest=sha256:c379177c239fc7ee4901f10ec1fa1d59d7ea5573cf0e3fa0ee782812eab546d8