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Paper Citation Record · LEDGER

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks

As of 11 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2501.15876.

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

pith.paper-citation-record.v1
2501.15876 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:53:48.785506Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55857750-5db3-4f85-b683-7f7b66726102 · outbound

This paper cites an unresolved cited work.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:49.050759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T13:53:48.720353Z digest=sha256:9ae2f58a4e40b241da1302d1fd8411490798ee5cefb5bddfc1a33e9e10762d63

Observation 44b6a33a-7ed3-4a05-8c7c-8e1f41039753 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:48.726442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:48.726442Z digest=sha256:eb10c5eda12ebc185e9cc9f301e2db7bab443655e8ab260ca743c6d1fd3e4aeb

Observation 3aca9aa7-fd12-4f37-952a-020cdf7d7296 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:48.732307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:48.732307Z digest=sha256:9bf00f6add007ffac7d60652a6f7e3284aab14ccf5f6442c7f4093b189f0ee35

Observation e33a8f24-963b-44ea-b5b5-f26b55036409 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:48.737037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:48.737037Z digest=sha256:7df66015a730290f62811d135fdcb4db74f32185b445e140550efb691221ebde

Observation 30b7549a-8dbc-47f1-a63a-dcc83e834448 · outbound

This paper cites Khosla, P.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks Khosla, P

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:48.743092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:48.743092Z digest=sha256:a1f217b7d43921a1aeaef23a8a897d0dfa265408d8a80e7241604aa8732a927f

Observation ac0c5486-a3fc-4b3e-ae83-d7053eeacd70 · outbound

This paper cites EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:48.749344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:48.749344Z digest=sha256:3b11053400467b5bc1dcdd2f5e56ceef45b6243937595e9b28d7c60034f6d0b1

Observation e3073693-7d4a-4e8b-9aca-2ab3468909c9 · outbound

This paper cites Mathew and V.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks Mathew and V

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:49.022682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T13:53:48.758094Z digest=sha256:551b5f6312845f46bea4bd9839734b69e072123932c9c5c7c640222b9bc1cd9c

Observation 6d1c256e-c3b8-45d7-9800-51fe2948e1e4 · outbound

This paper cites Raffel, N.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks Raffel, N

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:48.768490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:48.768490Z digest=sha256:6cc78faaa27082fe3e2a2f701ae9ad59094c90a457ffd0422f297626fd6855de

Observation 98afe1a8-c53c-4e82-a9dd-1c4198fa90d2 · outbound

This paper cites Bouraoui, S.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks Bouraoui, S

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:48.994227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T13:53:48.775090Z digest=sha256:8cc952f15204e872628c74bac4f75baa71f644c1dd12aef2c465daf99ea186b8

Observation 0cdec044-6ed8-490f-a5cb-61592458e11b · outbound

This paper cites ۶ _ r @ @ @ 445 a* !/ @ @ Ҵ 9L&mY Ay< Wiq6,L&v)S E CCü^zM IX&QurJGh M( @ @ i =:u grjjj DhY֛Lmv С 1qe!.

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks ۶ _ r @ @ @ 445 a* !/ @ @ Ҵ 9L&mY Ay< Wiq6,L&v)S E CCü^zM IX&QurJGh M( @ @ i =:u grjjj DhY֛Lmv С 1qe!

Reference 11

Resolution
verified exact
raw_fallback, observed 2026-08-10T13:53:48.912405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T13:53:48.785506Z digest=sha256:28bd4f4eb3258f5e6a1ecfd19fb9647478f0845d27070674255d9f161a13a36f

Pith citing papers

No inbound Pith citation observations are available.