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Paper Citation Record · LEDGER

ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.01279.

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

pith.paper-citation-record.v1
2105.01279 v1

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:48.152786Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:40:04.389632Z

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 9edaf56a-78b6-45dd-aba5-94c27b9fddc4 · inbound

Detoxification of Large Language Models through Output-layer Fusion with a Calibration Model cites this paper.

Detoxification of Large Language Models through Output-layer Fusion with a Calibration Model ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:48.152786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:51:48.152786Z digest=sha256:976e929fee28cd26ea6068765afc9f14f2a07b3c7618ab62c55dd600cc35830c

Observation ded80348-f21f-4b0b-8509-68fbce618ca5 · inbound

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing cites this paper.

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T05:48:39.638931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:48:39.638931Z digest=sha256:44346b0f3e9f7a3232a07b0348388d42e8d3adc8f122411bb5e8a41b95ee1c5a

Observation 488efb1a-27f0-4e35-ae39-7e62ebcce14d · inbound

Computed Tomography Visual Question Answering with Cross-modal Feature Graphing cites this paper.

Computed Tomography Visual Question Answering with Cross-modal Feature Graphing ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:41.909167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:41.909167Z digest=sha256:2d18b0f4aafed94013d59b14b7d0d32d86e09965ab73fc9ab1e5641b3c9b1a2b

Observation 58318cd6-8cf7-4776-a5c2-1d86b2646c2d · inbound

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis cites this paper.

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:27.822979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:59:27.822979Z digest=sha256:e3b55d3a6b72498626dbed7e75679d32229d50225b14beab7dfea709adb9e80e

Observation e44c7fd8-c623-493a-80f5-241f86610299 · inbound

ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling cites this paper.

ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:40:04.451408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:40:02.214823Z digest=sha256:2b7f61029dc905936e01bbfb0f3a90c952a592c1c17f07118421bd3530eee17f