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Paper Citation Record · LEDGER

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.02578.

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

pith.paper-citation-record.v1
2207.02578 v2

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:19.953507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T13:24:32.151302Z

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 1babce6f-48cb-4d74-9b81-61da0ef5bdf8 · inbound

Text Embeddings by Weakly-Supervised Contrastive Pre-training cites this paper.

Text Embeddings by Weakly-Supervised Contrastive Pre-training SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:54:03.973111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T04:54:03.524365Z digest=sha256:053cc9a2358a4f9170eda5e661684f194349143e1ad1848f8f54085c3386a7a6

Observation 97e0c20e-f37c-4282-a2fe-c18e3703a70e · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:24:32.153132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:1853fb2f4ed6067334a05d59917d67f1497f4367c8c02aa719bacefe410913d9

Observation 92af16bc-462a-4ebc-9bdc-690ba6ce0fee · inbound

RaDeR: Reasoning-aware Dense Retrieval Models cites this paper.

RaDeR: Reasoning-aware Dense Retrieval Models SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:19.953507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:19.953507Z digest=sha256:721f9d973c288b2e2f274cea99109eba90e079ac9fa2d415a50cd558c8cd6c2a

Observation 2d0f436b-e6f4-46e0-9e1d-5dc37c9445b2 · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:38:18.768905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:38:18.768905Z digest=sha256:e12b64643c74b19b07118b8402d9d9315c9a5d22f8145034a816b60557a6acc4

Observation 24d3bc36-5d57-4355-b0dc-07a41c16901d · inbound

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval cites this paper.

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:14.712740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:14.712740Z digest=sha256:bbdc695ffd34c79935687619efc27c38fbd0547bddfe52cee6d76b49e984fe19