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Paper Citation Record · LEDGER

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.06320.

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

pith.paper-citation-record.v1
2505.06320 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:03:13.011316Z

measured 17 of 17 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

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c5ace78-f940-47bd-ba44-4d673d7fc088 · outbound

This paper cites URL: " 'urlintro :=.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.935548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.935548Z digest=sha256:b83f818bd793e60a8255d3442f7e46aa6a25ff4406110269349b7dd2b71a8e0e

Observation 750b801b-8397-4b7b-9b07-b2e86688d86e · outbound

This paper cites write newline.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.940829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.940829Z digest=sha256:fbba1aa7f2156de1b5ceb09469913458bb30733376095ab570c304bba547e7d6

Observation 48407f77-cf73-46a4-919a-e4cdc7c1ea53 · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-15T23:03:13.360854Z

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=2026-08-15T23:03:12.945801Z digest=sha256:440674f1141388e64997f1177f6f191600b6ff3d109541da13dd60a9d862239a

Observation 84e82948-6fcd-491c-8a01-b75395ef64b0 · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.950313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.950313Z digest=sha256:2ebec6c66cb925c96ba4b318e2c837607b5f0dc835bd4b8d28a1742b851ba6c6

Observation 7e749251-8280-474b-8429-728ec35f5898 · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:03:13.400745Z

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=2026-08-15T23:03:12.955500Z digest=sha256:59343860eec61720349434f548572f3ebd8221bf4656d63206af176e9df56815

Observation 95f0719b-9ac7-437c-aa4b-d1319f94aa8d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.959861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.959861Z digest=sha256:31dcebf2c726c04d7b8802a3688d9fb5e32a70a976122470f5447127af6921e9

Observation 3c49542d-febd-4bd5-9331-cbf3fb676fe8 · outbound

This paper cites Inducing Causal Structure for Interpretable Neural Networks.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Inducing Causal Structure for Interpretable Neural Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.964526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.964526Z digest=sha256:0b85302968e2b7f68c17d2b03a9beeb5a45fd7e666ff698055104c3e2f8ed8ed

Observation 0a7934fe-501f-401b-a12e-1fa86195c667 · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:03:13.386371Z

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=2026-08-15T23:03:12.969158Z digest=sha256:2cd0f6ab533c7ec440346a91e846e7b3f0d4020869bae116ce76f4443fb583de

Observation a08b3806-196b-43e1-99a2-a73cf846ac2b · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.974048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.974048Z digest=sha256:0908a37c1311d9cd28d3cd3e2a0b4957c16cc8b8228c2273f6a776b98b25a0a0

Observation b399d765-8029-47dc-baad-144d849a8aa9 · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.978775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.978775Z digest=sha256:265a59cfc8b4305be7f2f85899d04e7ce5a042339332d39259775ee33a1bc176

Observation f786b2a7-6ee1-4f4a-ae7c-f756b878291c · outbound

This paper cites GPT-4 Technical Report.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution GPT-4 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.983532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.983532Z digest=sha256:d09fe40fd594bd478718d22a60baf1b0203edda50cd4f9c0c7276eac64e1d39b

Observation b968f5d7-6af9-41c0-9661-b7179efcac08 · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.988219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.988219Z digest=sha256:2c24d4e670b6d4502022f9d2a581c18536aa9db7dd677a92d692bb9be167c8dc

Observation fcd757f9-6b69-4eb5-a11f-d661b52aa91d · outbound

This paper cites PySBD: Pragmatic Sentence Boundary Disambiguation.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution PySBD: Pragmatic Sentence Boundary Disambiguation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.992706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.992706Z digest=sha256:2d63cdf3e687e99ce4940035f12e2d4a1506b1aac5f723651aaf9d34ec0fc50f

Observation 5cf20ae9-d5d7-4d12-b67e-92b007f7a90f · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Manning, Andrew Ng, and Christopher Potts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:12.997389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:12.997389Z digest=sha256:299b8439a283c37cff1bc48e593c41a42cf75705b9ae09feb5f62c9b2e92f70e

Observation 6175211a-f707-43d8-ad96-e7c3b83a0760 · outbound

This paper cites Efficient Few-Shot Learning Without Prompts.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Efficient Few-Shot Learning Without Prompts

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:13.001825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:13.001825Z digest=sha256:1d4a87d120b3376e05cbb426428ddc707a6462f1a072692dbac40359293eca59

Observation fa67749a-44a2-4e9d-af34-1f1e0eff6e09 · outbound

This paper cites an unresolved cited work.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:13.006523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:13.006523Z digest=sha256:28ce36a4247d9cab3b05f13a90e040281676dc4d04b836944f90ab2321b6f2f5

Observation 42f4944e-aff4-4ddc-914b-b4fb14ccf7c1 · outbound

This paper cites Octa: Omissions and Conflicts in Target-Aspect Sentiment Analysis.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Octa: Omissions and Conflicts in Target-Aspect Sentiment Analysis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T23:03:13.011316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:03:13.011316Z digest=sha256:078a12f610aa64df8d2f12a9aa472838483a159df62bfcf47920f05c9e9fa012

Pith citing papers

No inbound Pith citation observations are available.