Pith. sign in

Paper Citation Record · LEDGER

Semantic Answer Similarity for Evaluating Question Answering Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.06130.

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

pith.paper-citation-record.v1
2108.06130 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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:56.152029Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:47:19.439669Z

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 c1431306-b852-4f56-9dd9-a89d288b5f36 · inbound

Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations cites this paper.

Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations Semantic Answer Similarity for Evaluating Question Answering Models

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:56.152029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:51:56.152029Z digest=sha256:c97461f0399ea80fb9caf81f8f286d51506d01c1139f2df0fc3c36a283f6356e

Observation 7165ef21-a51b-4386-9224-84691d2d996a · inbound

Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts cites this paper.

Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts Semantic Answer Similarity for Evaluating Question Answering Models

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:47:19.444427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T23:47:19.289315Z digest=sha256:de6a1a31409ca013c3f19935859dd198023ec38ee72bef8d451ec7f7774cc6a2

Observation 601e9f20-5fa4-4f33-8e1e-2895cc691375 · inbound

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering cites this paper.

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering Semantic Answer Similarity for Evaluating Question Answering Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T10:44:10.042888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T10:44:10.042888Z digest=sha256:f42122b64f984b3b1ef5bb655c27f780e2d3e038e145237e2a4bb10c3d4886f7