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Paper Citation Record · LEDGER

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.14349.

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

pith.paper-citation-record.v1
2607.14349 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:25:10.755219Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

42 of 42 outbound references displayed

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  • verified fuzzy0
  • unresolved41
  • parse uncertain1
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 48e35431-2e46-4b09-9dac-b6a4930f88db · outbound

This paper cites Cheng and H.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Cheng and H

Reference 1

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Observation b9b52c0f-8554-4af0-b9c2-223d31e3e49e · outbound

This paper cites Quan and M.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Quan and M

Reference 2

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Observation e9ef1555-900d-463d-af81-246eaab47058 · outbound

This paper cites Wan and Z.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Wan and Z

Reference 3

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Observation 959e37ec-3618-4b5d-a481-b963131a7451 · outbound

This paper cites Valentino and G.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Valentino and G

Reference 4

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Observation bd8ae2d5-7707-4069-959b-3739ad9d61af · outbound

This paper cites Wu and Y.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Wu and Y

Reference 5

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Observation 500aa9ff-5545-4730-b487-d9438a1bf910 · outbound

This paper cites Kim and M.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Kim and M

Reference 6

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Observation 853f4025-418a-43b4-a018-c8adbf351f23 · outbound

This paper cites Patel and M.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Patel and M

Reference 7

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Observation 43492130-3315-4c29-98eb-40960f54c24f · outbound

This paper cites Bertolazzi and A.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Bertolazzi and A

Reference 8

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Observation b7b026a0-a9d3-4884-8945-bbfbddaa6980 · outbound

This paper cites Aho and Jeffrey D.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Aho and Jeffrey D

Reference 9

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Observation 3b455225-89e2-429e-8cb0-9c892be4db18 · outbound

This paper cites an unresolved cited work.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Unresolved cited work

Reference 10

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Observation ff0cd58c-78fd-4ddd-aeb8-1ddae5173b5a · outbound

This paper cites Chandra and Dexter C.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Chandra and Dexter C

Reference 11

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Observation 50bc924b-3e5c-40d1-a833-709f2131177e · outbound

This paper cites Scalable training of.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Scalable training of

Reference 12

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Observation 5b33e6f1-9bc6-46a0-8ff3-fdd15bbc42b6 · outbound

This paper cites an unresolved cited work.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Unresolved cited work

Reference 13

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Observation 72bf5c20-8829-49e4-8a84-1dfebefccdaf · outbound

This paper cites Tetreault , title =.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Tetreault , title =

Reference 14

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Observation 5c699966-ae1c-4e73-9f12-c9180ae97bef · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 15

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Observation e2657e27-a69a-4f4b-a15c-0cd1dff54526 · outbound

This paper cites and Tukey, John W.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization and Tukey, John W

Reference 16

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Observation 2a73ff80-86d6-493d-84af-d78d79d57995 · outbound

This paper cites International Conference on Learning Representations , year=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization International Conference on Learning Representations , year=

Reference 17

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Observation f5fc9c4a-2eda-4917-8956-fc046e77a953 · outbound

This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 18

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Observation 4f27174f-7530-4d54-a8cf-adb56884b98d · outbound

This paper cites International Conference on Learning Representations , year=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization International Conference on Learning Representations , year=

Reference 19

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Observation 7ddb2496-7c73-4eb7-9cd7-4f452044293b · outbound

This paper cites arXiv preprint arXiv:2505.12189 , year =.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization arXiv preprint arXiv:2505.12189 , year =

Reference 20

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Observation 4d84fe61-0ce3-4704-a291-0bd8c4c12179 · outbound

This paper cites Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference

Reference 21

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Observation 43da9395-d66a-409c-b12d-4d9244e116f3 · outbound

This paper cites SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Language Models.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Language Models

Reference 22

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Observation 95207ae6-da42-4eb0-b78b-ae42308e6226 · outbound

This paper cites 2024 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2024 , eprint=

Reference 23

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Observation 7a5d8059-13f3-42df-ba83-73a3bb680802 · outbound

This paper cites 2024 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2024 , eprint=

Reference 24

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Observation 47cc6a7e-3867-4db6-a279-76838103c2ab · outbound

This paper cites 2024 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2024 , eprint=

Reference 25

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Observation 295b9816-c9e6-4ea7-be8a-18d8df5d49be · outbound

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HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2023 , eprint=

Reference 26

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Observation b148a79e-b7ca-4992-b1c1-9aa138f04a37 · outbound

This paper cites 2018 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2018 , eprint=

Reference 27

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Observation 6132ce57-b5cf-4b1f-b818-8f7436b68028 · outbound

This paper cites Less Annotating, More Classifying -- Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Less Annotating, More Classifying -- Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and

Reference 28

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Observation 31ac7cb1-0b13-4afa-b445-87a23d10229b · outbound

This paper cites 2018 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2018 , eprint=

Reference 29

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source=arxiv_source observed=2026-08-02T02:25:09.442969Z digest=sha256:daeb6a21d35c9582be7cb3eeb0c21effa3df0b88d2211dd515b361f1b086d16e

Observation 168f172f-e36e-4999-8155-71176879eaf3 · outbound

This paper cites 2015 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2015 , eprint=

Reference 30

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Observation 8f59cb52-abfc-442e-a9b7-6628fccb6f6e · outbound

This paper cites 2020 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2020 , eprint=

Reference 31

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source=arxiv_source observed=2026-08-02T02:25:09.664790Z digest=sha256:25a50e867f5d18dd2795a1a97bdc8abac31cbe53dac73ebc2f6dcd69014f9f10

Observation 0c8caebc-a0ff-433e-915a-e5d195ffdb10 · outbound

This paper cites The Annals of Mathematical Statistics , volume=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization The Annals of Mathematical Statistics , volume=

Reference 32

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Observation fcf7d90d-2be2-4dec-a76b-46ad346675f4 · outbound

This paper cites FreeLB: Enhanced Adversarial Training for Natural Language Understanding.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 33

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Observation 3673ee2f-c011-451c-990c-af6acbc21285 · outbound

This paper cites , title =.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization , title =

Reference 34

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Observation 2e59ffb4-a981-4609-8890-1b180915e51d · outbound

This paper cites 2009 , publisher=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2009 , publisher=

Reference 35

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Observation 703a413a-be93-4126-afce-a04790acd546 · outbound

This paper cites Translation Artifacts in Cross-lingual Transfer Learning.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Translation Artifacts in Cross-lingual Transfer Learning

Reference 36

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Observation f670837f-eb83-4cf8-a9ee-a975ae83f7ea · outbound

This paper cites Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T02:25:10.207689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:25:10.207689Z digest=sha256:09ee3aa330ef95860fcb500ea46faf968fbd7f38ac63099772446a93a5bbfd42

Observation b73f75c3-eba1-4c03-bc94-2f7c775441a0 · outbound

This paper cites 2019 , eprint=.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2019 , eprint=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T02:25:10.312602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:25:10.312602Z digest=sha256:d9972e83d9979d6f99fbf7587b5d01638bb497969bd038ba8c09803f959cd1b6

Observation bea6e804-69d9-4716-91ef-83a162c17f1a · outbound

This paper cites 2023 , url =.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization 2023 , url =

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T02:25:10.430516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:25:10.430516Z digest=sha256:2a20e5068d322b7d51538f577da9a065e1dad205b5fc3f2bff588cc239fbe99a

Observation e11f9db4-4b94-4966-9e06-bef92440442f · outbound

This paper cites an unresolved cited work.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Unresolved cited work

Reference 40

Resolution
parse uncertain
no resolver link, observed 2026-08-02T02:25:10.517143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:25:10.517143Z digest=sha256:6ad0a46fc1cee7a4d273d3577880d2d2374e98ebe59324c4e2f77949ad93c224

Observation 6674a82a-6925-4095-bab1-46a919507656 · outbound

This paper cites Advances in Neural Information Processing Systems 32 , pages =.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Advances in Neural Information Processing Systems 32 , pages =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T02:25:10.633082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:25:10.633082Z digest=sha256:6121cdac6e8963146a57b2b9f2c0a4c8116734a4a816e432af7dd0f5df34bf39

Observation 3f918e44-80d3-46ac-ac7c-2855404dc872 · outbound

This paper cites an unresolved cited work.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T02:25:10.755219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:25:10.755219Z digest=sha256:465cbf39d8bfaa69fcc8e22612c1459818173b44e178352e946ce5378b613595

Pith citing papers

No inbound Pith citation observations are available.