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Paper Citation Record · LEDGER

CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.10195.

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

pith.paper-citation-record.v1
2304.10195 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:33:34.490756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:30.351567Z

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 9b2a5077-c9fc-4527-8b39-d64ea1f774e7 · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:33:30.358585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T02:33:30.143907Z digest=sha256:58cc19be9561afa9e84c2961f1a29b0556e5b0293cb9be09a9790cb75faaf70b

Observation bfee9b9e-d475-41bb-86c2-2e641606d66f · inbound

Investigating Mixture of Experts in Dense Retrieval cites this paper.

Investigating Mixture of Experts in Dense Retrieval CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T14:33:34.490756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:33:34.490756Z digest=sha256:1526b63e55fab1edef71420c576d3ae015ff353114ef8cddbbedfd610ce4822b

Observation 015825a2-5e1a-4333-849a-39ce25ff2433 · inbound

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models cites this paper.

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval

Reference 143

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:49:30.354096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T17:37:11.371892Z digest=sha256:f2018449767864f462f0e43d0700a140523d2294737eced19d5989e2df423bd6