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Paper Citation Record · LEDGER

Benchmarking pre-trained text embedding models in aligning built asset information

As of 16 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.12056.

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

pith.paper-citation-record.v1
2411.12056 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:02:23.285625Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05171453-e0c1-4a6a-b817-216366b375a1 · outbound

This paper cites buildingSmart International.

Benchmarking pre-trained text embedding models in aligning built asset information buildingSmart International

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.448420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.239038Z digest=sha256:eb42e49ef904367c6b7950b957e3e93a1e54ad3e1572a5058fe7c74bd1a6af39

Observation 3833530e-5006-4b6d-a21b-3a18d27bf6e0 · outbound

This paper cites Cappuzzo, P.

Benchmarking pre-trained text embedding models in aligning built asset information Cappuzzo, P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.438385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.243232Z digest=sha256:ba8574738c10bf3596219bab43b9095595f9c8fdb38fda391ea9b8320135bb69

Observation 89b5a276-e8d8-411f-b12c-e9b704b6b3b4 · outbound

This paper cites Forth, P.

Benchmarking pre-trained text embedding models in aligning built asset information Forth, P

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.426688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.252351Z digest=sha256:d549ed333da4089921474c9e4f727c63173fceee62ff8cd32ae1f49adf451998

Observation 172a0f9a-fc30-4d2e-b188-9fc3b0b4ae5a · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Benchmarking pre-trained text embedding models in aligning built asset information NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.256694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.256694Z digest=sha256:789d39704a5c5b11ec02f93d3c9a5f20b67c0c1b552205768fd35567be3ea3a4

Observation 1dac8c45-808d-4018-af36-66e71f9f20f9 · outbound

This paper cites an unresolved cited work.

Benchmarking pre-trained text embedding models in aligning built asset information Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T18:02:23.414258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.261181Z digest=sha256:9e82273e6875900637f7ab5ac8695b3a95d7a494412d89de244c253629b11ba5

Observation 1a3877d5-b0e7-4f1d-a818-07899fb88e1c · outbound

This paper cites Reimers and I.

Benchmarking pre-trained text embedding models in aligning built asset information Reimers and I

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.378793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.277256Z digest=sha256:1450863ee50a4ed7fb4439f17f0e56a8cc3da64eb47bbfa1876b6e8ec94b6f0f

Observation f152dbe8-3931-4f46-a4cc-1748767e3f05 · outbound

This paper cites Rosenberg and J.

Benchmarking pre-trained text embedding models in aligning built asset information Rosenberg and J

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.365828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.285625Z digest=sha256:2c8b2fb7cfd6683a21af4a5dd4901418a81b8aa618be00e46b52a1c53443d029

Observation 20d91195-7094-4587-878c-d2edb80f1d31 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Benchmarking pre-trained text embedding models in aligning built asset information Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.281488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.281488Z digest=sha256:9e28b244bb49623b29dd2c046bf6165c829e524cc74d8126fbe2afd83afdad6a

Observation 08e5e32d-dac3-4992-a6ae-3f84d689af7b · outbound

This paper cites The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding.

Benchmarking pre-trained text embedding models in aligning built asset information The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.247317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.247317Z digest=sha256:806868641552a33aaef22aa35ddb4eaed1c8a6f9de6d1bebb8717f9cd253d181

Observation 38c7ac53-397c-43f8-bb05-5135dcca6808 · outbound

This paper cites Pennington, R.

Benchmarking pre-trained text embedding models in aligning built asset information Pennington, R

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.390217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.272944Z digest=sha256:cf8775136a988312c46ca5ba5e7b4b9077dd2d3a4bf2e3939a448bbf33aeaa93

Observation 7ab3a976-9599-4310-b7f6-5c52c1e4af34 · outbound

This paper cites National building specification.

Benchmarking pre-trained text embedding models in aligning built asset information National building specification

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.402298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.269322Z digest=sha256:b34e09be97d0299cd5631c71b96d44bbd64cfb175c419bb5b1c713777ce70d24

Observation 74aaac0e-505f-4bb7-b2b1-a810b28e08a5 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Benchmarking pre-trained text embedding models in aligning built asset information MTEB: Massive Text Embedding Benchmark

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.265226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.265226Z digest=sha256:33f45c5d2bd8a2af4c319d9a3b5df02feb2d3b264682ddc61d12438482404b5a

Observation 285a23f3-e1d7-470e-be8f-92c61a0cf7cb · outbound

This paper cites 10 Ifcopenshell.

Benchmarking pre-trained text embedding models in aligning built asset information 10 Ifcopenshell

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.459566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:02:23.234491Z digest=sha256:a5c2268de5cc00037a246a60708d4798391cef35e1a9d2afcb1f69befca001fc

Pith citing papers

No inbound Pith citation observations are available.