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Paper Citation Record · LEDGER

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:1908.04812.

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

pith.paper-citation-record.v1
1908.04812 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:34:58.004584Z

measured 32 of 32 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:34:57.850633Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T13:34:58.094884Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved4
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  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f3bf3ff-e6a8-4ef3-b9cd-e179de955318 · outbound

This paper cites An Effective Domain Adaptive Post-Training Method for BERT in Response Selection.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection An Effective Domain Adaptive Post-Training Method for BERT in Response Selection

Reference 1

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local_arxiv, observed 2026-08-14T13:34:58.102353Z

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=pdf_text observed=2026-08-14T13:34:57.850633Z digest=sha256:aa948253d26eb2a9fa404bc9bc9ddebe22c7e7200eabfee3b58ac910c12bb6f5

Observation 6039877a-4549-4573-b1da-3c0720cf5127 · outbound

This paper cites [1] proposed a new response selection benchmark dataset, Ubuntu Corpus V1, with a dual encoder baseline model.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection [1] proposed a new response selection benchmark dataset, Ubuntu Corpus V1, with a dual encoder baseline model

Reference 2

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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 cc5e0f72-b452-4ece-aa06-c9695587a6b4 · outbound

This paper cites End Of Turn.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection End Of Turn

Reference 3

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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.

source=pdf_text observed=2026-08-14T13:34:57.866983Z digest=sha256:ac618379977f9689605520a27871e6d2648e6f5adc3040b4775ddb02bcb1df00

Observation 447ac88e-d493-4c87-829b-c1f55d9a15e7 · outbound

This paper cites Datasets and Training Setup We evaluate our model on two multi-turn dyadic data sets, Ubuntu IRC (Internet Relay Chat) Corpus V1[1] and Advis- ing Corpus1 [17].

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Datasets and Training Setup We evaluate our model on two multi-turn dyadic data sets, Ubuntu IRC (Internet Relay Chat) Corpus V1[1] and Advis- ing Corpus1 [17]

Reference 4

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raw_fallback, observed 2026-08-14T13:34:58.496170Z

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 5a77dc1d-5311-4718-8a25-5961672cbb39 · outbound

This paper cites Our ap- proach achieved new state-of-the-art results for two response selection benchmark data sets, Ubuntu Corpus V1 and Advis- ing Corpus.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Our ap- proach achieved new state-of-the-art results for two response selection benchmark data sets, Ubuntu Corpus V1 and Advis- ing Corpus

Reference 5

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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 729dacb7-96c9-4b7d-9447-20013a1d2f37 · outbound

This paper cites Multi-turn response selection for chatbots with deep attention matching network,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Multi-turn response selection for chatbots with deep attention matching network,

Reference 6

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unresolved
no resolver link, observed 2026-08-14T13:34:57.911392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 183a053b-9237-43b0-9c58-f6a52376ce76 · outbound

This paper cites The Ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection The Ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems,

Reference 7

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raw_fallback, observed 2026-08-14T13:34:58.459621Z

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=pdf_text observed=2026-08-14T13:34:57.884981Z digest=sha256:8066e18e5fd67857834bf58eac90a8cc109976055b4200373a2cd00c3b051204

Observation 4deea408-795f-47ef-bca1-6b82d66a8dc1 · outbound

This paper cites Improved Deep Learning Baselines for Ubuntu Corpus Dialogs.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Improved Deep Learning Baselines for Ubuntu Corpus Dialogs

Reference 8

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no resolver link, observed 2026-08-14T13:34:57.890714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c2f31c6-42b2-4780-8224-af6323c7ac67 · outbound

This paper cites Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots,

Reference 9

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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.

source=pdf_text observed=2026-08-14T13:34:57.896199Z digest=sha256:a1e79db4272edb69e1bd0f4863cb65bdceaec864f122d711c7272b33c49d5527

Observation 3013a892-9077-4903-8cda-d09034368548 · outbound

This paper cites Modeling multi-turn conversation with deep utterance aggregation,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Modeling multi-turn conversation with deep utterance aggregation,

Reference 10

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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.

source=pdf_text observed=2026-08-14T13:34:57.901220Z digest=sha256:d6fb30070cf9cbcbda54917f389f81ef39dc1083d36b807e40629a98faf11f17

Observation 29b9d429-e8aa-4dd2-a466-34745aee4d3a · outbound

This paper cites Attention is all you need,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Attention is all you need,

Reference 11

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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 8b60f68c-8bff-47ec-a12a-022579c8b377 · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for lan- guage understanding,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Xlnet: Generalized autoregressive pretraining for lan- guage understanding,

Reference 12

Resolution
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raw_fallback, observed 2026-08-14T13:34:58.302440Z

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=pdf_text observed=2026-08-14T13:34:57.942316Z digest=sha256:56dd1406390f8dccefa0936c77b3fc33f81e98f640903971538e404e531c5948

Observation 5d96e42b-84f7-4e39-bba0-250ffbf8c6d0 · outbound

This paper cites One time of interaction may not be enough: Go deep with an interaction- over-interaction network for response selection in dialogues,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection One time of interaction may not be enough: Go deep with an interaction- over-interaction network for response selection in dialogues,

Reference 13

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raw_fallback, observed 2026-08-14T13:34:58.382785Z

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=pdf_text observed=2026-08-14T13:34:57.916448Z digest=sha256:1a767a7b57408c2e232845282a9bafc5d98314eee1938454d58facab62badcc5

Observation 80bae5f0-3ee1-46d9-9edc-c337adaa40a5 · outbound

This paper cites Multi-hop selector network for multi-turn response selection in retrieval-based chatbots,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Multi-hop selector network for multi-turn response selection in retrieval-based chatbots,

Reference 14

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raw_fallback, observed 2026-08-14T13:34:58.367133Z

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 0a2011b2-3695-4c07-a6bf-680c8af67fbc · outbound

This paper cites Comparison of transfer-learning ap- proaches for response selection in multi-turn conversations,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Comparison of transfer-learning ap- proaches for response selection in multi-turn conversations,

Reference 15

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raw_fallback, observed 2026-08-14T13:34:58.350894Z

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=pdf_text observed=2026-08-14T13:34:57.927562Z digest=sha256:cc2307a04beef38295af09371c643f1465097d5f963b0aff76b5eaae2c2f46d3

Observation 6c665eec-b4f4-4582-973c-cb8259113bce · outbound

This paper cites Deep contextualized word representations,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Deep contextualized word representations,

Reference 16

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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 d96eac44-717d-4340-87e9-13aa9e3c9434 · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language under- standing,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection BERT: Pre- training of deep bidirectional transformers for language under- standing,

Reference 17

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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 584f3628-124f-4a42-9135-0c52e65e8c56 · outbound

This paper cites Multi-view response selection for human-computer con- versation,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Multi-view response selection for human-computer con- versation,

Reference 18

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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 2bcd7bcd-d173-4506-b931-6a85f1de4259 · outbound

This paper cites Improv- ing response selection in multi-turn dialogue systems by incorpo- rating domain knowledge,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Improv- ing response selection in multi-turn dialogue systems by incorpo- rating domain knowledge,

Reference 19

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raw_fallback, observed 2026-08-14T13:34:58.285324Z

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 78220601-866b-40a9-a095-0f1b43181344 · outbound

This paper cites BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:34:57.952095Z digest=sha256:6a678939d793f669217c62a6dfd29c14d7de3a97636b0a7a0eeb617932e6ed6d

Observation fa04b1b3-0651-4a77-b496-4fb8f8bd1480 · outbound

This paper cites Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks

Reference 21

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no resolver link, observed 2026-08-14T13:34:57.957183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:34:57.957183Z digest=sha256:6a769accd3547f612b38b0a0579ccebb3cf3268d3b2d033a439ab4147def5c00

Observation de14cc8d-2dd5-45cf-813b-1efb35b07c93 · outbound

This paper cites Superglue: A stickier bench- mark for general-purpose language understanding systems,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Superglue: A stickier bench- mark for general-purpose language understanding systems,

Reference 22

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raw_fallback, observed 2026-08-14T13:34:58.268919Z

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=pdf_text observed=2026-08-14T13:34:57.962545Z digest=sha256:bc0fe1aa38e0e7484a7b04dcb2c7fb26cfa47d740ce5d061177d5d01893b1b17

Observation 9b9d8a22-47ee-4d64-9929-6a5510984032 · outbound

This paper cites DSTC7 task 1: Noetic end-to-end response selec- tion,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection DSTC7 task 1: Noetic end-to-end response selec- tion,

Reference 23

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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.

source=pdf_text observed=2026-08-14T13:34:57.966770Z digest=sha256:7aa9c0453392156034deb6b2f44f4f14f1de9b19a805bae429df26f2bb2a208b

Observation f1a403ac-4dbc-4831-a952-5aa3050c36b8 · outbound

This paper cites Sequential attention-based network for noetic end-to-end response selection,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Sequential attention-based network for noetic end-to-end response selection,

Reference 24

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raw_fallback, observed 2026-08-14T13:34:58.135466Z

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=pdf_text observed=2026-08-14T13:34:57.999578Z digest=sha256:9087eb1261b604f1f5503005ed30a637deaa0d2d25184e05e6bc4c8623a7f8f5

Observation 12c6c983-803e-4008-8369-809dab19f84a · outbound

This paper cites Enhanced LSTM for natural language inference,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Enhanced LSTM for natural language inference,

Reference 25

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raw_fallback, observed 2026-08-14T13:34:58.219969Z

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 09ae6c81-12a6-40c4-853d-48485026f166 · outbound

This paper cites Multi- representation fusion network for multi-turn response selection in retrieval-based chatbots,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Multi- representation fusion network for multi-turn response selection in retrieval-based chatbots,

Reference 26

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raw_fallback, observed 2026-08-14T13:34:58.204749Z

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=pdf_text observed=2026-08-14T13:34:57.980013Z digest=sha256:a23cb47ad654d45e01a914063b849867d55553aa7aa0a103f1325bd056c9e36a

Observation c7cf828f-842b-4521-bef6-f14eddf76c6c · outbound

This paper cites The trec-8 question answering track re- port.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection The trec-8 question answering track re- port

Reference 27

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raw_fallback, observed 2026-08-14T13:34:58.186975Z

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=pdf_text observed=2026-08-14T13:34:57.984745Z digest=sha256:640b2805d701e610b6bc8b5576d78841ff157ccf0478cc50d4092b941dd6e0bf

Observation aa0a8f0b-452f-4617-870c-57f8e4800181 · outbound

This paper cites Tensorflow: A system for large-scale machine learning,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Tensorflow: A system for large-scale machine learning,

Reference 28

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raw_fallback, observed 2026-08-14T13:34:58.169467Z

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=pdf_text observed=2026-08-14T13:34:57.989451Z digest=sha256:0fb5ed1e795c4f5cfea7cad8444a6417f3e12addd17a4aeb7ac47c651f4f6ec9

Observation 8411ba0e-fd33-4452-884f-882816ac11ce · outbound

This paper cites Distributed representations of words and phrases and their com- positionality,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Distributed representations of words and phrases and their com- positionality,

Reference 29

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raw_fallback, observed 2026-08-14T13:34:58.152991Z

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=pdf_text observed=2026-08-14T13:34:57.994464Z digest=sha256:7770cc4e4ab6e5cd28658b0f4b0dc14caf3c05c0a1bc28fcefd59263819b8771

Observation ddb4a05d-4ce7-4faa-9fa3-671f44d756ae · outbound

This paper cites Parameter- efficient transfer learning for nlp,.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Parameter- efficient transfer learning for nlp,

Reference 31

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raw_fallback, observed 2026-08-14T13:34:58.118982Z

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=pdf_text observed=2026-08-14T13:34:58.004584Z digest=sha256:d80cf174df96bf8e9df743a2dad2957beb0a28bc855e0d100a24a48ec27ad7f3

Observation 0444c8d1-fed6-4ae4-8f1e-a0fbc05b0819 · outbound

This paper cites Zhou et al.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection Zhou et al

Reference 2017

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raw_fallback, observed 2026-08-14T13:34:58.530717Z

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=pdf_text observed=2026-08-14T13:34:57.862250Z digest=sha256:fd5400c81ee17ee04dbf08e66d431ce755127c3b208e8d30a14ad70c89e84c37

Pith citing papers

Observation 4f3bf3ff-e6a8-4ef3-b9cd-e179de955318 · inbound

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection cites this paper.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection An Effective Domain Adaptive Post-Training Method for BERT in Response Selection

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T13:34:58.102353Z

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=pdf_text observed=2026-08-14T13:34:57.850633Z digest=sha256:aa948253d26eb2a9fa404bc9bc9ddebe22c7e7200eabfee3b58ac910c12bb6f5