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Paper Citation Record · LEDGER

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition

As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2509.02514.

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

pith.paper-citation-record.v1
2509.02514 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:42:00.615813Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20541064-c286-43ac-9d06-3e3c26f01582 · outbound

This paper cites online" 'onlinestring :=.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:00.518121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:42:00.518121Z digest=sha256:363d84e7ac579ca73d3c8169bf2ebab97551761f393bd9bd10fb20987b39742f

Observation eae2eccc-db9b-4f09-ada8-68e9947a5957 · outbound

This paper cites write newline.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:00.522785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:42:00.522785Z digest=sha256:2c62df2f72ca24cfc74f297ec2c516e0f1ce562b584cb069bcd91cea1c789dc2

Observation 82731a54-b126-49ae-9d2b-336cfa3dc172 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:01.021664Z

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=2026-08-15T16:42:00.527315Z digest=sha256:9f3dd522a7526dce9b3e40817a3ab19316a0ee6a26c6d5a8f69120a5eb0b6377

Observation c1f15711-ac06-4d08-afb5-8e2215010707 · outbound

This paper cites i am borrowing ya mixing?.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition i am borrowing ya mixing?

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:42:01.009833Z

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=2026-08-15T16:42:00.531457Z digest=sha256:b77a5d768a83c81d8a9de1674599e36752b999075cfc250fc284c6b0b88b6a61

Observation f56a514f-e5e1-4331-8e6b-80bd6614f359 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.996838Z

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=2026-08-15T16:42:00.535801Z digest=sha256:6c23e37fee9fd27d9fca0590c3a23fdedcf00f05000f367d1af710b9311b9fe2

Observation bf0504d4-7c23-408b-966b-d4839b19c529 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.982560Z

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=2026-08-15T16:42:00.539800Z digest=sha256:1f63baeb4f45cfd3395f113e98248cee7fdd7d0e25bf5813ac78979db5197e2e

Observation 2567aaf1-66ef-42c0-98bf-7e9f75470749 · outbound

This paper cites Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:42:00.687266Z

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=2026-08-15T16:42:00.543999Z digest=sha256:e3e2c70530e57680efae31711bb701a1e14db4c782e020d13ae7a2d0da2ca75d

Observation affb9126-47f5-4779-8c5c-a768eb13b292 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.962699Z

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=2026-08-15T16:42:00.548638Z digest=sha256:41a57ab555f0ab79426a745053781b5a1b3d50c4adcafc2f68b5ea01bdc02248

Observation 8cddc3a4-d044-4eca-9b2e-9bc03d939451 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.944574Z

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=2026-08-15T16:42:00.553090Z digest=sha256:726a8a45450440061fb12f4566d89df5c0bb015c0697ed214c1f081acd4c3083

Observation b7c677b0-d87f-4173-ab08-f1796333f493 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.928159Z

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=2026-08-15T16:42:00.557318Z digest=sha256:04073ccaed928644ffaf9090adbc01518b3dc15476b8d162c9afd79761022dce

Observation f510429a-b899-490c-8313-96d307228e92 · outbound

This paper cites A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:00.562205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:42:00.562205Z digest=sha256:f377c79ffb78e474cab373947d7d23cc15ab6a0497ab0ef721774b392d28a898

Observation d0f059eb-24f9-4ca4-bdcc-eed46cb99f30 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.902076Z

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=2026-08-15T16:42:00.567594Z digest=sha256:5ecfc6fee6ccbc42e4bfff3532c6dfb146faf7366da03aea415a6f40495ab77f

Observation 2b500ad6-fe2d-4024-82f6-8c442d8eeab0 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.878320Z

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=2026-08-15T16:42:00.573689Z digest=sha256:e34f39671b966be46c5a0ce84ac175cd3d3fd3aa4115bc29ab4d863283a8f68e

Observation 5b6d7e6a-3a93-4a2a-82c0-2ffb150c754c · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:00.577573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:42:00.577573Z digest=sha256:03fc3ab65b835a6d4b838f5665292f8267984e84bc143d58d4e7ea4be3bd9041

Observation b0ad25e0-5bc9-447c-bce1-0e6d4e3286fc · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.845322Z

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=2026-08-15T16:42:00.581655Z digest=sha256:03ae7c27ca545ed79f4c5c8c8900ee9f273c5843cc3140144877d5533a4200a6

Observation 9da2953a-3c98-48fa-b358-fc5c1a37faf3 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.829288Z

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=2026-08-15T16:42:00.586057Z digest=sha256:e0ac0bd0045aa2f7107831dd5a059e38c1189317066f89fc6a2b42bf7541ab7a

Observation ff21dab8-4a84-4255-b8fe-58027557df85 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.811308Z

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=2026-08-15T16:42:00.589779Z digest=sha256:b0a9a500281ac78d00df753a9a601faa012d641ba7c75ac542e6c16fa02afad7

Observation e502a812-2013-49c7-b335-d1da39405222 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.799151Z

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=2026-08-15T16:42:00.593415Z digest=sha256:2f626cb9e825c333eb98cf6e28fee1f3209c8057df2220d4b0304ee09d444d20

Observation 46fea6c6-dcea-4393-a746-94fe799cea01 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.786236Z

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=2026-08-15T16:42:00.596686Z digest=sha256:ab8c8fb2f8e54ff5b329985d38e5961e7e7171b125773cf0f1c18b288c5e7fed

Observation 12db313c-fb7a-4a1c-888b-49d14a3c5090 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.766469Z

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=2026-08-15T16:42:00.599944Z digest=sha256:e4a1eb49059e4636ded92c928fe742725c99074cf50c8c8c49f41eb5cb63354d

Observation 3a0c6c4c-747b-4192-a144-f927da6c8350 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Gemini: A Family of Highly Capable Multimodal Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:00.604159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:42:00.604159Z digest=sha256:f0bf26ebb22c3b20203c30c43af1481220cd7de9347bd40b65d623b325b04a31

Observation f9f3d753-d6b5-4719-9fc5-951d0428ed83 · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.749543Z

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=2026-08-15T16:42:00.608660Z digest=sha256:1346521616e3ff02d13a8a869335b807118594688680ecd028f1487eec5f84f7

Observation 1b646fd6-5bed-464c-b464-7bec245a06bb · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.731393Z

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=2026-08-15T16:42:00.612620Z digest=sha256:e118b034483c5f7c2f27a900d123be20921721b8e02d5e89856293a9f522fa06

Observation b78c7daa-b560-4638-947e-a804a50adfec · outbound

This paper cites an unresolved cited work.

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:42:00.706417Z

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=2026-08-15T16:42:00.615813Z digest=sha256:eedd87e2311f015067d4ca05f4dab476f92b7c6ae66fd1fcffb97766b2c44a17

Pith citing papers

No inbound Pith citation observations are available.