Paper Citation Record · LEDGER

Boosting Neural Language Inference via Cascaded Interactive Reasoning

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.06607.

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

pith.paper-citation-record.v1
2505.06607 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:42:45.507129Z

measured 42 of 42 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

42 of 42 outbound references displayed

verified exact0
verified fuzzy26
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c29c08d-12a5-4ce3-9eb5-d012b88fae9e · outbound

This paper cites Asynchronous deep interaction network for natural language inference,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Asynchronous deep interaction network for natural language inference,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.276226Z

Source-reported events for the cited work

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Observation e772008e-3251-4165-bde9-fe5b27fc0d63 · outbound

This paper cites Enhanced LSTM for Natural Language Inference.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Enhanced LSTM for Natural Language Inference

Reference 2

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Source-reported events for the cited work

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Observation 0d23a00b-646b-4c3a-8a68-88c6216f27ab · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.256539Z

Source-reported events for the cited work

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Observation 271509c1-c8e5-4756-8471-17589862cb2d · outbound

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

Boosting Neural Language Inference via Cascaded Interactive Reasoning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 4

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Source-reported events for the cited work

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Observation f2969450-fafc-493b-8107-e0750b07fb1e · outbound

This paper cites Semantics-aware bert for language understanding,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Semantics-aware bert for language understanding,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.239986Z

Source-reported events for the cited work

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Observation abd1462b-331e-4df4-a8a6-05ea2a0a2a9d · outbound

This paper cites Using prior knowledge to guide bert’s attention in semantic textual matching tasks,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Using prior knowledge to guide bert’s attention in semantic textual matching tasks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.222910Z

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Observation a3f45c02-c296-4b43-aae0-9eae191ae7e4 · outbound

This paper cites What is the jeopardy model? a quasi- synchronous grammar for qa,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning What is the jeopardy model? a quasi- synchronous grammar for qa,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.204053Z

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.

Observation c96a4892-482b-4f8d-9bfc-05387e46d200 · outbound

This paper cites A large annotated corpus for learning natural language inference.

Boosting Neural Language Inference via Cascaded Interactive Reasoning A large annotated corpus for learning natural language inference

Reference 8

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Source-reported events for the cited work

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Observation 95ec2bbf-8f66-492c-a03b-70421db33604 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:45.351472Z

Source-reported events for the cited work

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Observation 489f7982-8c2e-424f-a1e5-8eab4c146259 · outbound

This paper cites Learning to compose task-specific tree structures,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Learning to compose task-specific tree structures,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.187309Z

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.

Observation 3d218f96-2e67-4f9a-8262-6bfbf77198c3 · outbound

This paper cites Bilateral Multi-Perspective Matching for Natural Language Sentences.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Bilateral Multi-Perspective Matching for Natural Language Sentences

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:45.359450Z

Source-reported events for the cited work

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Observation 85e95e02-00e1-4b13-b58f-71493b182677 · outbound

This paper cites Enhanced-rcnn: an efficient method for learning sentence similarity,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Enhanced-rcnn: an efficient method for learning sentence similarity,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.171336Z

Source-reported events for the cited work

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Observation b4868ecd-c378-4bd2-bac0-186800a4a5ae · outbound

This paper cites Enhanced attentive convolutional neural networks for sentence pair modeling,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Enhanced attentive convolutional neural networks for sentence pair modeling,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.154946Z

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.

Observation 2b57cf0c-8c7f-4b41-a606-d07ddc7e21f8 · outbound

This paper cites Describing multimedia content using attention-based encoder-decoder networks,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Describing multimedia content using attention-based encoder-decoder networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.138486Z

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.

Observation e26001e2-bc08-457b-a3a6-6e1d7e2ae98f · outbound

This paper cites Local and global: temporal question answering via information fusion,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Local and global: temporal question answering via information fusion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.119324Z

Source-reported events for the cited work

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Observation ef87ac08-0ce5-4f4d-81f4-2cf353e52fa6 · outbound

This paper cites Deep residual learning for image recognition,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Deep residual learning for image recognition,

Reference 16

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Source-reported events for the cited work

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Observation 100efac7-db5e-4fe3-9b10-313778f1e028 · outbound

This paper cites Simple and Effective Text Matching with Richer Alignment Features.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Simple and Effective Text Matching with Richer Alignment Features

Reference 17

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Source-reported events for the cited work

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Observation 42d6b089-7a45-4093-bfcb-40c6340a0f07 · outbound

This paper cites Distilling structured knowledge for text-based relational reasoning,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Distilling structured knowledge for text-based relational reasoning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.085044Z

Source-reported events for the cited work

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Observation e0b4dfc7-2762-4a44-b52e-ce46b7af6c63 · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for language understanding,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Xlnet: Generalized autoregressive pretraining for language understanding,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.063908Z

Source-reported events for the cited work

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Observation 20d7ff45-1de4-4359-86b0-e901caa5d576 · outbound

This paper cites Question calibration and multi-hop modeling for temporal question answering,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Question calibration and multi-hop modeling for temporal question answering,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.048085Z

Source-reported events for the cited work

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Observation a7ad6b30-3cce-410d-95e0-b1a1a34ceb9a · outbound

This paper cites Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention

Reference 21

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Source-reported events for the cited work

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Observation b081a7c7-8ea2-44c6-9c96-da056d93c531 · outbound

This paper cites Local and global: Text matching via syntax graph calibration,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Local and global: Text matching via syntax graph calibration,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.032404Z

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.

Observation 87fc2ca0-5943-45a2-9b5f-b6f213f3cf70 · outbound

This paper cites Syntax-bert: Improving pre-trained transformers with syntax trees,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Syntax-bert: Improving pre-trained transformers with syntax trees,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:46.011530Z

Source-reported events for the cited work

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Observation e877874c-f744-4a91-b50f-4bb4db821b1f · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Boosting Neural Language Inference via Cascaded Interactive Reasoning GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 24

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Source-reported events for the cited work

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Observation e15e8d6f-fea8-4bbf-9660-2f5b7037efda · outbound

This paper cites A Continuously Growing Dataset of Sentential Paraphrases.

Boosting Neural Language Inference via Cascaded Interactive Reasoning A Continuously Growing Dataset of Sentential Paraphrases

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:45.426989Z

Source-reported events for the cited work

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Observation c9c4da2a-4876-4d3e-8184-3279234ad048 · outbound

This paper cites Scitail: A textual entailment dataset from science question answering,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Scitail: A textual entailment dataset from science question answering,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.994943Z

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.

Observation 30f0ab7d-b14b-4953-a7c3-991231801d61 · outbound

This paper cites Attention is all you need,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Attention is all you need,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.976981Z

Source-reported events for the cited work

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Observation 302b3ce9-1406-41c6-bdbb-28232a25c6b0 · outbound

This paper cites Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference

Reference 28

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Source-reported events for the cited work

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Observation b3ac4904-4075-4cfb-925e-254652276e93 · outbound

This paper cites Adaptive multi-attention network incorporating answer information for duplicate question detection,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Adaptive multi-attention network incorporating answer information for duplicate question detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.960565Z

Source-reported events for the cited work

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Observation 3dc5a805-2ce7-4991-915c-950a01c19d07 · outbound

This paper cites DABERT: Dual attention enhanced BERT for semantic matching,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning DABERT: Dual attention enhanced BERT for semantic matching,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.945036Z

Source-reported events for the cited work

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Observation d18b3612-6f10-4874-9c95-f301f4bac62b · outbound

This paper cites Dual path modeling for semantic matching by perceiving subtle conflicts,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Dual path modeling for semantic matching by perceiving subtle conflicts,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.929461Z

Source-reported events for the cited work

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Observation 194f97ec-7082-4ca5-ac32-fdea98d961b8 · outbound

This paper cites Time-aware multiway adaptive fusion network for temporal knowledge graph question answering,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Time-aware multiway adaptive fusion network for temporal knowledge graph question answering,

Reference 32

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Observation 4ca8849d-ca05-4846-b719-020bf9139bfe · outbound

This paper cites Cqg: A simple and effective controlled generation framework for multi-hop question generation,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Cqg: A simple and effective controlled generation framework for multi-hop question generation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.895386Z

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.

Observation 2abd2d8b-3471-4d1e-97d7-a2dca12c8f96 · outbound

This paper cites Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference

Reference 34

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Observation ffd9845d-7dab-4a9c-af8f-ffaa09d89c45 · outbound

This paper cites Robust Lottery Tickets for Pre-trained Language Models.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Robust Lottery Tickets for Pre-trained Language Models

Reference 35

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Observation 71549028-108d-4920-80f6-c68c8ed0c1e2 · outbound

This paper cites Searching for Optimal Subword Tokenization in Cross-domain NER.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Searching for Optimal Subword Tokenization in Cross-domain NER

Reference 36

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Source-reported events for the cited work

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Observation 7fa51c2d-c954-4927-a561-f27ec7c27511 · outbound

This paper cites Improving semantic matching through dependency-enhanced pre-trained model with adaptive fusion,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Improving semantic matching through dependency-enhanced pre-trained model with adaptive fusion,

Reference 37

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Observation b10f1f3c-77ba-4ecd-a49b-cfe6a542ca7a · outbound

This paper cites Trans- ferring from formal newswire domain with hypernet for twitter pos tagging,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Trans- ferring from formal newswire domain with hypernet for twitter pos tagging,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.864586Z

Source-reported events for the cited work

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Observation 3fc59729-7833-404e-b31c-d4814ca7d470 · outbound

This paper cites Unleashing potential of evidence in knowledge-intensive dialogue generation,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Unleashing potential of evidence in knowledge-intensive dialogue generation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.849718Z

Source-reported events for the cited work

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Observation 0bb3d500-34fa-4cbc-ab40-b9b3d1d3c43c · outbound

This paper cites TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Boosting Neural Language Inference via Cascaded Interactive Reasoning TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 40

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Observation c59b7376-6440-4bf6-b63a-0ebd6729a1bb · outbound

This paper cites Comateformer: Combined Attention Transformer for Semantic Sentence Matching.

Boosting Neural Language Inference via Cascaded Interactive Reasoning Comateformer: Combined Attention Transformer for Semantic Sentence Matching

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:45.501420Z

Source-reported events for the cited work

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Observation 17612a92-cd06-4d3c-8c6c-94600f96dd81 · outbound

This paper cites S3prompt: Instructing the model with self-calibration, self-recall and self-aggregation to improve in-context learning,.

Boosting Neural Language Inference via Cascaded Interactive Reasoning S3prompt: Instructing the model with self-calibration, self-recall and self-aggregation to improve in-context learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:45.833838Z

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.

Pith citing papers

No inbound Pith citation observations are available.