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Paper Citation Record · LEDGER

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity

As of 16 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:1909.02339.

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

pith.paper-citation-record.v1
1909.02339 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:57:43.520036Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

59 of 59 outbound references displayed

  • verified exact6
  • verified fuzzy2
  • unresolved50
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b58d63ad-febb-4901-a0cb-56d40560f44c · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.436121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.264277Z digest=sha256:b1962ff1ca83c39f8a39caeb658899162e9d78a58a6d413f3068f9cad0a42626

Observation 0af8aa20-9b6a-44f0-94ef-99bfcdd535b7 · outbound

This paper cites Enriching Word Vectors with Subword Information.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Enriching Word Vectors with Subword Information

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.269003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.269003Z digest=sha256:77bebce590abbffc075055c918b01f636990d614ac0a23f22b329171b80485cf

Observation a0974ca5-aa2c-44ab-a5ec-dc7dfbf166c4 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.274146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.274146Z digest=sha256:b16aedc4c9797bf4a112bd8164fb174276f3c61df823a8facc53201fdbdaee21

Observation d1521dc1-8ecf-4f1c-953c-3436d392ad1c · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.423572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.278654Z digest=sha256:0f9043f507b905d3579987113122b15e36364486c482d911a4d5dc67553de67a

Observation 9ccad9fb-b5e0-4635-b992-c2b617c1e7a6 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.411778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.282761Z digest=sha256:2e2c0bb1efbb48d4561659156ee0a901ec2649052fd11422f365a244831cf8ff

Observation d681b2ee-2f4e-44ee-b4d8-8562744caf6c · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.399305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.286743Z digest=sha256:8a93cc3071fdb2c2030407d0788ca2f340b3ddff47c20a18d74a98cd460360f8

Observation ac2b2aa3-5c6f-48fc-b9db-65d684c3f3bd · outbound

This paper cites Dolan and Chris Brockett.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Dolan and Chris Brockett

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:57:44.387623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.291885Z digest=sha256:1f9727520172df4f3f071d0fbc82c0fb0f2b000576124c063d09d76ece688cab

Observation 4d8d5a38-4bcb-46d5-a0ad-153e765afb97 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.375381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.296745Z digest=sha256:3428b6d20cb9a755e52df203862e61793f1a2894a21c3a5e406005ef24d5fc1b

Observation c6a5b676-160a-4022-beea-e83a85c239ed · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.363257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.300680Z digest=sha256:58cc2d54b63e4f851d78771068be1734863f0424bba7301b7d0096bffdf14b49

Observation e98ff790-2182-4309-a5c1-7c61cab71fd2 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.305064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.305064Z digest=sha256:cd4220b81b9d336f7990503eac6a68b0ab44cd6701f9c21bcb5de6334b137ded

Observation 6db93833-8c81-41bd-9a68-31786adda1e1 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.350656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.309471Z digest=sha256:3041586b35e050463215169187acd149268814075d6f7903732625067e28e403

Observation 51b7ccbb-4361-49e1-890f-8da1fad88303 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-14T04:57:43.313707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.313707Z digest=sha256:3e0554f508354ee4639fb4108074e682b339ddf0a204c13107ff2afe2e4dfe9a

Observation d6977c56-fd5a-4733-a297-ff1a39f4d397 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.318729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.318729Z digest=sha256:39de5bf728cef2cc71dd181b2ca8222c3cc26450894e82af4bf53adfc0430f5f

Observation bd992191-8045-43ee-9472-ae7492a2844b · outbound

This paper cites Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:57:43.948423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.322900Z digest=sha256:c69d6051bc388ada0834d7c3a317e5280748a2fa955b343898b5ff376b39c6ff

Observation 97958982-afe8-4db8-b062-b64ced1f2366 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.337861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.327605Z digest=sha256:133ed1dc1058a97c6d07cf436a1f0a22fa809f6e43bc721e9dd18f120779a9ac

Observation 35db33bf-83ff-40bc-bd3b-769608ce1aa1 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.323247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.331655Z digest=sha256:722fb7323bff879e1efafa28e3bd40b7c8b9cbd12dd5730c798a4fc8a57ef84f

Observation 3172608e-149b-4e3f-9731-2f53ef316027 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.308100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.335834Z digest=sha256:bc3087ffd7f445a7eba4d387139944900265d9ea2b23e0c00989932f2f27d6a3

Observation e6460768-9720-4b0a-92b8-810ea52435f3 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.295069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.340819Z digest=sha256:ec35969118a01ad6322b18abc7be1832d5aba01c972cb3d48aeae2a4e705b6e7

Observation fba91a59-1db0-4dbd-9415-edcf719c1e17 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.282994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.344976Z digest=sha256:0bd3fff0605c6c403cdc946999a8525876a71385083a1ec567c5f429458cb1aa

Observation d5b0f346-8e5a-49e5-94ec-026a55ff34f9 · outbound

This paper cites K-BERT: Enabling Language Representation with Knowledge Graph.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity K-BERT: Enabling Language Representation with Knowledge Graph

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.350149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.350149Z digest=sha256:53bffc4a7dca53fe4cba73e1af125cd68e8e8e9b9bf9288e9b0f1245aff09edb

Observation f769aeaa-9d70-465f-85f9-8d9d0a29e9de · outbound

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

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.354683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.354683Z digest=sha256:dd87b3ed83bbcd9f61cc5b9acc988e81d47188043087cd86314249e488f350d0

Observation 91588fa1-31e5-4a01-8f29-0c56307df05b · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.271195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.359054Z digest=sha256:a2c5881c4ae6d1ea61bdd7bf76c55458734978f63c2d2934df46fd743b006654

Observation 9f59771d-feee-4d79-9613-1067a0aadd8c · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.363187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.363187Z digest=sha256:a2d93b2a1ab893ce8dc250ccd4df79bbf2a28cc07cd7ea1ab954cb5c17571609

Observation 631ca935-fe31-43b7-9bc0-169c8a1df3cd · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.259894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.368271Z digest=sha256:a0c025ae6048849cc19060ffe804e84cf098770d9dff819ce2a1c598bad9d690

Observation 839d4175-9b66-4e6d-a564-bf5fee63a0de · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.248555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.372751Z digest=sha256:04a5913929092a7ff932683d46baa09e4bd7c45184db0b2d6a4ddb640149852a

Observation d3fb286f-4e1c-4a91-a715-5f45ab2aa1cb · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 26

Resolution
verified exact
raw_fallback, observed 2026-08-14T04:57:43.847843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.376811Z digest=sha256:fba61303143e0fa25d3c01230f419bffdbc2193dd2686e7a4467c66dd5eaf8ed

Observation 9922a76f-f2ca-4ae3-9f20-dce4ce13e78f · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.235841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ae7726f4-d186-4b81-bf50-b819f419e37f · outbound

This paper cites Encoding Prior Knowledge with Eigenword Embeddings.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Encoding Prior Knowledge with Eigenword Embeddings

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:57:43.687621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.386094Z digest=sha256:4ee908f75e68af747b5c5813729cc0d68a300a928ceb65fce8b3d27a0457672e

Observation 87c2ab6c-cef1-4371-bad7-7afa7822daa5 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.224727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f268c3ad-0ce1-4575-a3c8-6e091a7f9157 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.213335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.394266Z digest=sha256:ece61cbb4c5e8e06315d5e66249b3b89bd47b968e36c39d65b50e7d56ced0abb

Observation ffb2dd4c-8d32-46f9-9abe-1aa867568d5f · outbound

This paper cites Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.398668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.398668Z digest=sha256:e069d7b2e0ba55f233e9b8997e8f7c878e1657df16cfb9b05fd71bfc6410b7e5

Observation 9e689fd4-d76f-4455-866f-d30baafadb76 · outbound

This paper cites Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:57:44.202437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c9eb8023-999d-47b5-95db-0f2fb7ef8fd5 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.190708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.407176Z digest=sha256:00e6af6e1c1753315d1f53a6fccdd814974a5ddd244d574605f93dbe40d8ca99

Observation 814d2990-e82e-4549-9a80-4b8dfc203272 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.178090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.411064Z digest=sha256:51009aa268ff723e255e51a6d974c7481a99b657438a5a907a21bfd459f33b42

Observation a231a515-d3b2-4d42-a442-b3754be2465c · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.167339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.415808Z digest=sha256:66654b308a3311f2dd71065dfa2ef4aa02eb131221dba4d11fb268e259f56927

Observation 8d7b0bf1-d33c-4106-a48e-dec2ce03a759 · outbound

This paper cites Lexical Simplification with Pretrained Encoders.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Lexical Simplification with Pretrained Encoders

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:57:43.670381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.419799Z digest=sha256:11f73575ed2325cecd6acb7612c4e4c5101bf7b7f8c749fb310038ee5865ce89

Observation c44499f6-64b8-4ac5-8a69-501e711719b4 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.156418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 067441bb-9d51-463e-af53-35f20a1c97cd · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.145895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3e763e81-8d04-4906-9e4c-eb3ba8f6ca0c · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 25192b1d-480b-4d2e-86ab-ce1565a3c0df · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.134186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 34bb30b0-d678-4964-8768-702f08c4376a · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c415355a-df4e-432a-9301-3f377d59954c · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 42

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8b32cbb8-ab5c-4788-b701-a31895cda071 · outbound

This paper cites ERNIE 2.0: A Continual Pre-training Framework for Language Understanding.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

Reference 43

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cba699d5-0e64-4342-9733-552ed4dd198a · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.453754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72be260c-3973-4af4-9407-96c47b0e73ee · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation be478d5d-01fa-4f46-a17b-09d19d6b38d7 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 46

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 97229789-4730-4a54-ae55-350752865ce7 · outbound

This paper cites Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:57:43.634299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 990af958-6dbc-450c-8050-d88897f90263 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.073931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1db58b38-8aa9-48f0-ab09-aeb42f20579a · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.062669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.477815Z digest=sha256:7664f987d48b4c3954eed4fbfc2613df3d2431a81cc22d957224ceb9c8b36815

Observation 318a8765-d4ac-45b6-94c9-5df084a58292 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.049820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7d88bc4d-416d-4846-a89c-505c51e00c9e · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.037544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f749edce-a613-497a-961f-b45a515263ef · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.025167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.489564Z digest=sha256:385723b55178efb82360f3f25211502a071a84136d842a75ec7065d93d7f2997

Observation 3957d338-b754-41af-8eba-94123f3ac358 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.493348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.493348Z digest=sha256:16ceb2c76230eb954eec0d33a1873186a2010513ebb8289ddf40c167353cfc53

Observation 802009f5-b15d-4da2-a5aa-65c76ea4c5d6 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.013566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.497916Z digest=sha256:35fe9b221605f9e152e54231672311749a27a4a2c29f420fd016d2ff0e3a449d

Observation c25d20fd-01f9-4cb3-9f68-88aa7a51c5f5 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:44.000579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:57:43.502186Z digest=sha256:8e8b8f7f7556ffc8a5a937f2f252abdefa6423b3d2c33d76950b3dc66b572858

Observation e7deacf4-27da-4630-aa2a-1c530d4d5e93 · outbound

This paper cites an unresolved cited work.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:57:43.988489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 481b8e8f-16b9-4889-961c-a214bcdb201b · outbound

This paper cites ERNIE: Enhanced Language Representation with Informative Entities.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ERNIE: Enhanced Language Representation with Informative Entities

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.511467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.511467Z digest=sha256:88c5a7485da50ec1952f9dea6315aef66389bf9ef83ff62ad460cb3e57469f93

Observation c27558c7-64c4-4e9b-99e7-160c9addfc71 · outbound

This paper cites URL: " 'urlintro :=.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity URL: " 'urlintro :=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.515734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.515734Z digest=sha256:248fef3ebfe1d8568e7c09436b42e3ea96c1816af43457e14cd3a98a0784c961

Observation afbab6d4-f8ab-42ae-9cd6-b284d3c7bab6 · outbound

This paper cites write newline.

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity write newline

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-14T04:57:43.520036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:57:43.520036Z digest=sha256:7c4ab898fb3c319feeaeca70a608afd49327af9cf7ad6c6014cbbeb951b3e5fe

Pith citing papers

No inbound Pith citation observations are available.