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Paper Citation Record · LEDGER

Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.09679.

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

pith.paper-citation-record.v1
1904.09679 v3

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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:41:18.671149Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T11:44:38.294838Z

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 350a1f74-6add-476e-bfda-5e327badb7c6 · inbound

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models cites this paper.

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T12:41:18.671149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:41:18.671149Z digest=sha256:e1175cb9fb282f8c13623da2a616cd5db10a2dcfce5dc3d9ab355602a795d82c

Observation a5e818fc-d843-442c-a034-3a286b2f1204 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.297497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:0ba74f5743b4130dfa52404fca3c1cebd05fc68e2f2301e7b97f88ade6e49a72

Observation 9d4ed67a-4311-4598-8a3f-da9c651ea7c5 · inbound

UserGPT Technical Report cites this paper.

UserGPT Technical Report Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:11:18.719025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T03:10:51.555653Z digest=sha256:92345ae2d0ea93bb949a43a4262e8a714619fd1c68da95dc8bd39a95d92ef66d