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Paper Citation Record · LEDGER

Text Summarization with Pretrained Encoders

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1908.08345.

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

pith.paper-citation-record.v1
1908.08345 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:59:08.755342Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.681497Z

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 8a350139-4439-4ac9-a503-317aafa2cd46 · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension Text Summarization with Pretrained Encoders

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-13T00:14:58.225596Z

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=2026-05-13T00:14:58.134513Z digest=sha256:9569f194340abb38a1314018edb789b9519bb2f471c0eb3eacce144bfcdce066

Observation dbff6bac-a759-49d1-bc43-90b157348520 · inbound

Enriching and Controlling Global Semantics for Text Summarization cites this paper.

Enriching and Controlling Global Semantics for Text Summarization Text Summarization with Pretrained Encoders

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-24T13:56:12.969407Z

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=arxiv_source observed=2026-05-24T13:56:02.469608Z digest=sha256:642798cdad7b13ebf88e828aa17567454a18349bcbcef0f2390bcb0d00919964

Observation 1616f11f-0953-4931-8b36-8a7f573629fd · inbound

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval cites this paper.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Text Summarization with Pretrained Encoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:08.755342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:08.755342Z digest=sha256:819e160519ffcd3054fb830340b5f9879c743eb12d3fb896f01fa27186670621

Observation 3a3a1400-9e3a-4c02-9afd-692d5b0a2ba0 · inbound

MobileRAG: A Fast, Memory-Efficient, and Energy-Efficient Method for On-Device RAG cites this paper.

MobileRAG: A Fast, Memory-Efficient, and Energy-Efficient Method for On-Device RAG Text Summarization with Pretrained Encoders

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T21:11:18.415694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.415694Z digest=sha256:b8099a8f7396e6dbaca1579e24f3bd43998832f280ce7f55f9e4431b4a04047a

Observation 7f699046-09ed-499a-98cb-7d9490ce2d2a · inbound

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding cites this paper.

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding Text Summarization with Pretrained Encoders

Reference 109

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:38:43.682938Z

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=arxiv_source observed=2026-07-03T17:30:39.458521Z digest=sha256:63392e22732da31173a047418547a9a58455fe4295edbcdec62fbeb9ff5e1f0e