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Paper Citation Record · LEDGER

UnitedQA: A Hybrid Approach for Open Domain Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.00178.

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

pith.paper-citation-record.v1
2101.00178 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:56:16.697275Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:02:50.353372Z

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 a89d0b60-d8a6-4976-9ff3-18d31e930d85 · inbound

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot UnitedQA: A Hybrid Approach for Open Domain Question Answering

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T23:56:16.697275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:56:16.697275Z digest=sha256:9d4c33d5b4c5a256fd5e369963f551cea5d3434d2dcb2d0551ca9a452fc5cd44

Observation b13bcf2d-c0c4-4c4a-ac4a-f3d768bd7941 · inbound

AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings cites this paper.

AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings UnitedQA: A Hybrid Approach for Open Domain Question Answering

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:02:50.360458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T19:02:49.882860Z digest=sha256:7093804ab0d6c1b07d6556b9b6014c9316a214786660731165cee45fe05036b8